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\n  \n Book chapters\n \n \n (3)\n \n \n
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\n  \n 2024\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n Bayesian source separation.\n \n \n \n\n\n \n Moussaoui, S.; Duarte, L. T.; Dobigeon, N.; and Jutten, C.\n\n\n \n\n\n\n In Jutten, C.; Moussaoui, S.; and Duarte, L., editor(s), Source separation in physical-chemical sensing, of Electronics & Communications Engineering Series. John Wiley & Sons, U.K., 2024.\n \n\n\n\n
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@Incollection{Moussaoui_Wiley_2016,\n  author       = {S. Moussaoui and L. T. Duarte and N. Dobigeon and C. Jutten},\n  title        = {Bayesian source separation},\n  booktitle    = {Source separation in physical-chemical sensing},\n  editor       = {C. Jutten and S. Moussaoui and L.-T. Duarte},\n  series       = {Electronics \\& Communications Engineering Series},\n  publisher    = {John Wiley \\& Sons},\n  address      = {U.K.},\n  year         = 2024,\n  volume       = {},\n  pages        = {},\n  type\t\t   = {Book chapters},    \n}\n\n\n\n
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\n  \n 2016\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n Linear and nonlinear unmixing in hyperspectral imaging.\n \n \n \n\n\n \n Dobigeon, N.; Altmann, Y.; Brun, N.; and Moussaoui, S.\n\n\n \n\n\n\n In Ruckebusch, C., editor(s), Resolving spectral mixtures – With application from ultrafast time-resolved spectroscopy to superresolution imaging, volume 30, of Data Handling in Science and Technology, pages 185–224. Elsevier, Oxford, U.K., 2016.\n \n\n\n\n
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@Incollection{Dobigeon_ELSEVIER_2016,\n  author       = {N. Dobigeon and Y. Altmann and N. Brun and S. Moussaoui},\n  title        = {Linear and nonlinear unmixing in hyperspectral imaging},\n  booktitle    = {Resolving spectral mixtures -- With application from ultrafast time-resolved spectroscopy to superresolution imaging},\n  editor       = {C. Ruckebusch},\n  series       = {Data Handling in Science and Technology},\n  publisher    = {Elsevier},\n  address      = {Oxford, U.K.},\n  year         = 2016,\n  volume       = {30},\n  pages        = {185--224},\n  type\t\t   = {Book chapters},    \n}  \n\n\n\n\n
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\n  \n 2013\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n MCMC algorithms for supervised and unsupervised linear unmixing of hyperspectral images.\n \n \n \n\n\n \n Dobigeon, N.; Moussaoui, S.; Coulon, M.; Tourneret, J.; and Hero, A. O.\n\n\n \n\n\n\n In Mary, D.; Theys, C.; and Aime, C., editor(s), New Concepts in Imaging: Optical and Statistical Models, volume 59, of EAS Publications Series, pages 381–401. EDP Sciences, Les Ulis, France, 2013.\n \n\n\n\n
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@Incollection{Dobigeon_EAS_2013,\n  author       = {N. Dobigeon and S. Moussaoui and M. Coulon and J.-Y. Tourneret and A. O. Hero},\n  title        = {{MCMC} algorithms for supervised and unsupervised linear unmixing of hyperspectral images},\n  booktitle    = {New Concepts in Imaging: Optical and Statistical Models},\n  editor       = {D. Mary and C. Theys and C. Aime},\n  series       = {EAS Publications Series},\n  publisher    = {EDP Sciences},\n  address      = {Les Ulis, France},\n  year         = 2013,\n  volume       = {59},\n  pages        = {381--401},\n  type\t\t   = {Book chapters},    \n}  \n\n\n\n\n\n\n%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n%%    Int. Conference papers      %%\n%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n\n
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\n \n\n \n \n \n \n \n Approches problèmes inverses pour la fusion d'images multi-bandes.\n \n \n \n\n\n \n Oberlin, T.; and Dobigeon, N.\n\n\n \n\n\n\n Technical Report CNES, Toulouse, France, June 2020.\n Industrial reports\n\n\n\n
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@techreport{Oberlin_IndReport_CNES_2020,\n  author       = {Th. Oberlin and N. Dobigeon},\n  title        = {Approches probl\\`emes inverses pour la fusion d'images multi-bandes},\n  institution = {CNES},\n  address      = {Toulouse, France},\n  month        = {June},\n  year         = 2020,\n  note         = {Industrial reports},     \n  type\t\t   = {Industrial reports},     \n}\n\n
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\n  \n 2018\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n Débruitage d'images hyperspectrales.\n \n \n \n\n\n \n Oberlin, T.; Dobigeon, N.; and Chabert, M.\n\n\n \n\n\n\n Technical Report R&T16/OT-0006-037, Toulouse, France, April 2018.\n Industrial reports\n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@techreport{Oberlin_IndReport_CNES_2018,\n  author       = {Th. Oberlin and N. Dobigeon and M. Chabert},\n  title        = {D\\'ebruitage d'images hyperspectrales},\n  organization = {CNES},\n  address      = {Toulouse, France},\n  number       = {R&T16/OT-0006-037},\n  month        = {April},\n  year         = 2018,\n  note         = {Industrial reports},     \n  type\t\t   = {Industrial reports},       \n}\n\n\n\n\n
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\n  \n 2014\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n Détection de mélanges non-linéaires dans les images hyperspectrales.\n \n \n \n\n\n \n Dobigeon, N.; and Tourneret, J.\n\n\n \n\n\n\n Technical Report R-S13/OT-0004-071, Toulouse, France, Jan. 2014.\n Industrial reports\n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@techreport{Dobigeon_IndReport_CNES_2014,\n  author       = {N. Dobigeon and J.-Y. Tourneret},\n  title        = {D\\'etection de m\\'elanges non-lin\\'eaires dans les images hyperspectrales},\n  organization = {CNES},\n  address      = {Toulouse, France},\n  number       = {R-S13/OT-0004-071},\n  month        = {Jan.},\n  year         = 2014,\n  note         = {Industrial reports},     \n  type\t\t   = {Industrial reports},    \n}\n\n\n\n
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\n  \n 2013\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n Apprentissage de dictionnaire pour la représentation parcimonieuse d'images de télédétection.\n \n \n \n\n\n \n Dobigeon, N.; and Tourneret, J.\n\n\n \n\n\n\n Technical Report R-S11/OT-0004-057, Toulouse, France, May 2013.\n Industrial reports\n\n\n\n
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@techreport{Dobigeon_IndReport_CNES_2013,\n  author       = {N. Dobigeon and J.-Y. Tourneret},\n  title        = {Apprentissage de dictionnaire pour la repr\\'esentation parcimonieuse d'images de t\\'el\\'ed\\'etection},\n  organization = {CNES},\n  address      = {Toulouse, France},\n  number       = {R-S11/OT-0004-057},\n  month        = {May},\n  year         = 2013,\n  note         = {Industrial reports},     \n  type\t\t   = {Industrial reports},      \n}\n\n\n\n
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\n  \n 2012\n \n \n (2)\n \n \n
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\n \n\n \n \n \n \n \n Algorithmes complémentaires de reconstruction de données de l'instrument MADRAS.\n \n \n \n\n\n \n Wendt, H.; Dobigeon, N.; and Tourneret, J.\n\n\n \n\n\n\n Technical Report Toulouse, France, Sept. 2012.\n Industrial reports\n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@techreport{Wendt_IndReport_CNES_2012b,\n  author       = {H. Wendt and N. Dobigeon and J.-Y. Tourneret},\n  title        = {Algorithmes compl\\'ementaires de reconstruction de donn\\'ees de l'instrument {MADRAS}},\n  organization = {CNES/CLS},\n  address      = {Toulouse, France},\n  month        = {Sept.},\n  year         = 2012,\n  note         = {Industrial reports},     \n  type\t\t   = {Industrial reports},      \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Algorithmes de reconstruction de données de l'instrument MADRAS.\n \n \n \n\n\n \n Wendt, H.; Dobigeon, N.; and Tourneret, J.\n\n\n \n\n\n\n Technical Report Toulouse, France, June 2012.\n Industrial reports\n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@techreport{Wendt_IndReport_CNES_2012a,\n  author       = {H. Wendt and N. Dobigeon and J.-Y. Tourneret},\n  title        = {Algorithmes de reconstruction de donn\\'ees de l'instrument {MADRAS}},\n  organization = {CNES/CLS},\n  address      = {Toulouse, France},\n  month        = {June},\n  year         = 2012,\n  note         = {Industrial reports},     \n  type\t\t   = {Industrial reports},       \n}\n\n\n\n
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\n  \n 2011\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n Désentrelacement des mesures TDOA et FDOA.\n \n \n \n\n\n \n Tourneret, J.; Dobigeon, N.; and Ferrari, A.\n\n\n \n\n\n\n Technical Report R-S09/RE-0001-011, Toulouse, France, March 2011.\n Industrial reports\n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@techreport{Tourneret_IndReport_CNES_2011,\n  author       = {J.-Y. Tourneret and N. Dobigeon and A. Ferrari},\n  title        = {D\\'esentrelacement des mesures {TDOA} et {FDOA}},\n  organization = {CNES},\n  address      = {Toulouse, France},\n  number       = {R-S09/RE-0001-011},\n  month        = {March},\n  year         = 2011,\n  note         = {Industrial reports},     \n  type\t\t   = {Industrial reports},       \n}\n\n%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n%%  Unpublished/rejected papers   %%\n%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n\n\n
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\n  \n International conferences\n \n \n (18)\n \n \n
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\n \n\n \n \n \n \n \n A deep neural network to restore pulsar dynamic spectra corrupted by radio frequency interferences.\n \n \n \n\n\n \n Zhang, X.; Cognard, I.; and Dobigeon, N.\n\n\n \n\n\n\n In Proc. SPIE Astronomical Telescopes + Instrumentation, Yokohama, Japan, June 2024. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Inproceedings{Zhang_SPIE_ATI_2024,\n  author       = {X. Zhang and I. Cognard and N. Dobigeon},\n  title        = {A deep neural network to restore pulsar dynamic spectra corrupted by radio frequency interferences},\n  booktitle    = {Proc. SPIE Astronomical Telescopes + Instrumentation},  \n  month        = {June},\n  year         = {2024},\n  address      = {Yokohama, Japan},\n  pages        = {},\n  type\t\t   = {International conferences},   \n}\n\n\n
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\n \n\n \n \n \n \n \n Influence of spatial noise on two-pass fast Raman hyperspectral microimaging based on essential information.\n \n \n \n\n\n \n Gillet, V.; Mabilleau, G.; Loumaigne, M.; Coic, L.; Vitale, R.; Oberlin, T.; Goulart, H.; Dobigeon, N.; Ruckebush, C.; and Rousseau, D.\n\n\n \n\n\n\n In Proc. Focus on Microscopy (FOM), Genoa, Italy, March 2024. \n \n\n\n\n
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@Inproceedings{Gillet_FOM_2024,\n  author       = {V. Gillet and G. Mabilleau and M. Loumaigne and L. Coic and R. Vitale and Th. Oberlin and H. Goulart and N. Dobigeon and C. Ruckebush and D. Rousseau},\n  title        = {Influence of spatial noise on two-pass fast Raman hyperspectral microimaging based on essential information},\n  booktitle    = {Proc. Focus on Microscopy (FOM)},  \n  month        = {March},\n  year         = {2024},\n  address      = {Genoa, Italy},\n  pages        = {},\n  type\t\t   = {International conferences},   \n}\n\n\n
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\n \n\n \n \n \n \n \n Sliced-Wasserstein normalizing flows: beyond maximum likelihood training.\n \n \n \n\n\n \n Coeurdoux, F.; Dobigeon, N.; and Chainais, P.\n\n\n \n\n\n\n In Proc. European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), Bruges, Belgium, Oct. 2022. \n \n\n\n\n
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@Inproceedings{Coeurdoux_ESANN_2022,\n  author       = {F. Coeurdoux and N. Dobigeon and P. Chainais},\n  title        = {Sliced-Wasserstein normalizing flows: beyond maximum likelihood training},\n  booktitle    = {Proc. European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN)},  \n  month        = {Oct.},\n  year         = {2022},\n  address      = {Bruges, Belgium},\n  pages        = {},\n  type\t\t   = {International conferences},   \n}\n\n\n
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\n \n\n \n \n \n \n \n Informed spatial regularizations for fast fusion of astronomical images.\n \n \n \n\n\n \n Guilloteau, C.; Oberlin, T.; Berné, O.; and Dobigeon, N.\n\n\n \n\n\n\n In Proc. IEEE Int. Conf. Image Processing (ICIP), Bordeaux, France, Oct. 2022. \n \n\n\n\n
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@Inproceedings{Guilloteau_IEEE_ICIP_2022,\n  author       = {C. Guilloteau and Th. Oberlin and O. Bern\\'{e} and N. Dobigeon},\n  title        = {Informed spatial regularizations for fast fusion of astronomical images},\n  booktitle    = {Proc. IEEE Int. Conf. Image Processing (ICIP)},  \n  month        = {Oct.},\n  year         = {2022},\n  address      = {Bordeaux, France},\n  pages        = {},\n  type\t\t   = {International conferences},      \n}\n\n\n
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\n \n\n \n \n \n \n \n Learning optimal transport between two empirical distributions with normalizing flows.\n \n \n \n\n\n \n Coeurdoux, F.; Dobigeon, N.; and Chainais, P.\n\n\n \n\n\n\n In Proc. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), Grenoble, France, Sept. 2022. \n \n\n\n\n
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@Inproceedings{Coeurdoux_ECMLPKDD_2022,\n  author       = {F. Coeurdoux and N. Dobigeon and P. Chainais},\n  title        = {Learning optimal transport between two empirical distributions with normalizing flows},\n  booktitle    = {Proc. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD)},\n  address      = {Grenoble, France},\n  year         = {2022},\n  month        = {Sept.},\n  pages        = {},\n  type\t\t   = {International conferences},    \n}\n\n\n
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\n \n\n \n \n \n \n \n A Bayesian estimation formulation to voxel-based lesion-symptom mapping.\n \n \n \n\n\n \n Fall, M. D.; Dobigeon, N.; and Auzou, P.\n\n\n \n\n\n\n In Proc. European Signal Processing Conf. (EUSIPCO), Belgrade, Serbia, Sept. 2022. \n \n\n\n\n
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@Inproceedings{Fall_EUSIPCO_2022,\n  author       = {M. D. Fall and N. Dobigeon and P. Auzou},\n  title        = {A {B}ayesian estimation formulation to voxel-based lesion-symptom mapping},\n  booktitle    = {Proc. European Signal Processing Conf. (EUSIPCO)},\n  address      = {Belgrade, Serbia},\n  year         = {2022},\n  month        = {Sept.},\n  pages        = {},\n  type\t\t   = {International conferences},    \n}\n\n\n
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\n  \n 2020\n \n \n (3)\n \n \n
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\n \n\n \n \n \n \n \n Successive nonnegative projection algorithm for linear quadratic mixtures.\n \n \n \n\n\n \n Kervazo, C.; Gillis, N.; and Dobigeon, N.\n\n\n \n\n\n\n In Proc. European Signal Processing Conf. (EUSIPCO), Amsterdam, Netherlands, Sept. 2020. \n \n\n\n\n
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@Inproceedings{Kervazo_EUSIPCO_2020,\n  author       = {C. Kervazo and N. Gillis and N. Dobigeon},\n  title        = {Successive nonnegative projection algorithm for linear quadratic mixtures},\n  booktitle    = {Proc. European Signal Processing Conf. (EUSIPCO)},\n  address      = {Amsterdam, Netherlands},\n  year         = {2020},\n  month        = {Sept.},\n  pages        = {},\n  type\t\t   = {International conferences},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Fusion of hyperspectral and multispectral infrared astronomical images.\n \n \n \n\n\n \n Guilloteau, C.; Oberlin, T.; Berné, O.; and Dobigeon, N.\n\n\n \n\n\n\n In Proc. Workshop on Sensor Array and Multichannel Signal Processing (SAM), Hangzhou, China, June 2020. \n \n\n\n\n
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@Inproceedings{Guilloteau_IEEE_SAM_2020,\n  author       = {C. Guilloteau and Th. Oberlin and O. Bern\\'e and N. Dobigeon},\n  title        = {Fusion of hyperspectral and multispectral infrared astronomical images},\n  booktitle    = {Proc. Workshop on Sensor Array and Multichannel Signal Processing (SAM)},\n  address      = {Hangzhou, China},\n  month        = {June},\n  year         = {2020},\n  pages        = {},\n  note         = {},\n  type\t\t   = {International conferences},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Unsupervised change detection for multimodal remote sensing images via coupled dictionary learning and sparse coding.\n \n \n \n\n\n \n Ferraris, V.; Dobigeon, N.; Cavalcanti, Y. C.; Oberlin, T.; and Chabert, M.\n\n\n \n\n\n\n In Proc. IEEE Int. Conf. Acoust., Speech, and Signal Processing (ICASSP), Barcelona, Spain, May 2020. \n \n\n\n\n
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@Inproceedings{Ferraris_IEEE_ICASSP_2020,\n  author       = {V. Ferraris and N. Dobigeon and Y. Cruz Cavalcanti and Th. Oberlin and M. Chabert},\n  title        = {Unsupervised change detection for multimodal remote sensing images via coupled dictionary learning and sparse coding},\n  booktitle    = {Proc. IEEE Int. Conf. Acoust., Speech, and Signal Processing (ICASSP)},\n  address      = {Barcelona, Spain},\n  month        = {May},\n  year         = {2020},\n  pages        = {},\n  type\t\t   = {International conferences},  \n}\n\n\n\n
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\n  \n 2019\n \n \n (7)\n \n \n
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\n \n\n \n \n \n \n \n Matrix cofactorization for joint unmixing and classification of hyperspectral images.\n \n \n \n\n\n \n Lagrange, A.; Fauvel, M.; May, S.; Bioucas-Dias, J. M.; and Dobigeon, N.\n\n\n \n\n\n\n In Proc. European Signal Processing Conf. (EUSIPCO), A Coruna, Spain, 2019. \n \n\n\n\n
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@Inproceedings{Lagrange_EUSIPCO_2019,\n  author       = {A. Lagrange and M. Fauvel and S. May and J. M. Bioucas-Dias and N. Dobigeon},\n  title        = {Matrix cofactorization for joint unmixing and classification of hyperspectral images},\n  booktitle    = {Proc. European Signal Processing Conf. (EUSIPCO)},\n  address      = {A Coruna, Spain},\n  year         = {2019},\n  month        = {},\n  pages        = {},\n  type\t\t   = {International conferences},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n On variable splitting for Markov chain Monte Carlo.\n \n \n \n\n\n \n Vono, M.; Dobigeon, N.; and Chainais, P.\n\n\n \n\n\n\n In Proc. Workshop on Signal Processing with Adaptative Sparse Structured Representations (SPARS), Toulouse, France, Sept. 2019. \n \n\n\n\n
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@Inproceedings{Vono_SPARS_2019,\n  author       = {M. Vono and N. Dobigeon and P. Chainais},\n  title        = {On variable splitting for {M}arkov chain {M}onte {C}arlo},\n  booktitle    = {Proc. Workshop on Signal Processing with Adaptative Sparse Structured Representations (SPARS)},\n  address      = {Toulouse, France},\n  month        = {Sept.},\n  year         = {2019},\n  pages        = {},\n  type\t\t   = {International conferences},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Reconstruction of partially sampled STEM-EELS images with atomic resolution.\n \n \n \n\n\n \n Monier, E.; Oberlin, T.; Brun, N.; and Dobigeon, N.\n\n\n \n\n\n\n In Proc. Workshop on Signal Processing with Adaptative Sparse Structured Representations (SPARS), Toulouse, France, July 2019. \n \n\n\n\n
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@Inproceedings{Monier_SPARS_2019,\n  author       = {E. Monier and Th. Oberlin and N. Brun and N. Dobigeon},\n  title        = {Reconstruction of partially sampled {STEM-EELS} images with atomic resolution},\n  booktitle    = {Proc. Workshop on Signal Processing with Adaptative Sparse Structured Representations (SPARS)},\n  address      = {Toulouse, France},\n  month        = {July},\n  year         = {2019},\n  pages        = {},\n  type\t\t   = {International conferences},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Fusion of hyperspectral and multispectral infrared astronomical images.\n \n \n \n\n\n \n Guilloteau, C.; Oberlin, T.; Berné, O.; and Dobigeon, N.\n\n\n \n\n\n\n In Proc. Workshop on Signal Processing with Adaptative Sparse Structured Representations (SPARS), Toulouse, France, July 2019. \n \n\n\n\n
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@Inproceedings{Guilloteau_SPARS_2019,\n  author       = {C. Guilloteau and Th. Oberlin and O. Bern\\'e and N. Dobigeon},\n  title        = {Fusion of hyperspectral and multispectral infrared astronomical images},\n  booktitle    = {Proc. Workshop on Signal Processing with Adaptative Sparse Structured Representations (SPARS)},\n  address      = {Toulouse, France},\n  month        = {July},\n  year         = {2019},\n  pages        = {},\n  type\t\t   = {International conferences},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Bayesian image restoration under Poisson noise and log-concave prior.\n \n \n \n\n\n \n Vono, M.; Dobigeon, N.; and Chainais, P.\n\n\n \n\n\n\n In Proc. IEEE Int. Conf. Acoust., Speech, and Signal Processing (ICASSP), Brighton, U.K., April 2019. \n \n\n\n\n
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@Inproceedings{Vono_IEEE_ICASSP_2019b,\n  author       = {M. Vono and N. Dobigeon and P. Chainais},\n  title        = {Bayesian image restoration under {P}oisson noise and log-concave prior},\n  booktitle    = {Proc. IEEE Int. Conf. Acoust., Speech, and Signal Processing (ICASSP)},\n  address      = {Brighton, U.K.},\n  month        = {April},\n  year         = {2019},\n  pages        = {},\n  type\t\t   = {International conferences},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Efficient sampling through variable splitting-inspired Bayesian hierarchical models.\n \n \n \n\n\n \n Vono, M.; Dobigeon, N.; and Chainais, P.\n\n\n \n\n\n\n In Proc. IEEE Int. Conf. Acoust., Speech, and Signal Processing (ICASSP), Brighton, U.K., April 2019. \n \n\n\n\n
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@Inproceedings{Vono_IEEE_ICASSP_2019a,\n  author       = {M. Vono and N. Dobigeon and P. Chainais},\n  title        = {Efficient sampling through variable splitting-inspired {B}ayesian hierarchical models},\n  booktitle    = {Proc. IEEE Int. Conf. Acoust., Speech, and Signal Processing (ICASSP)},\n  address      = {Brighton, U.K.},\n  month        = {April},\n  year         = {2019},\n  pages        = {},\n  type\t\t   = {International conferences},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Unmixing dynamic PET images: combining spatial heterogeneity and non-Gaussian noise.\n \n \n \n\n\n \n Cavalcanti, Y. C.; Oberlin, T.; Dobigeon, N.; Févotte, C.; Stute, S.; and Tauber, C.\n\n\n \n\n\n\n In Proc. IEEE Int. Conf. Acoust., Speech, and Signal Processing (ICASSP), Brighton, U.K., April 2019. \n \n\n\n\n
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@Inproceedings{Cavalcanti_IEEE_ICASSP_2019,\n  author       = {Y. Cruz Cavalcanti and Th. Oberlin and N. Dobigeon and C. F\\'evotte and S. Stute and C. Tauber},\n  title        = {Unmixing dynamic {PET} images: combining spatial heterogeneity and non-{G}aussian noise},\n  booktitle    = {Proc. IEEE Int. Conf. Acoust., Speech, and Signal Processing (ICASSP)},\n  address      = {Brighton, U.K.},\n  month        = {April},\n  year         = {2019},\n  pages        = {},\n  type\t\t   = {International conferences},  \n}\n\n\n\n
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\n  \n 2018\n \n \n (6)\n \n \n
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\n \n\n \n \n \n \n \n Sparse Bayesian binary logistic regression using the split-and-augmented Gibbs sampler.\n \n \n \n\n\n \n Vono, M.; Dobigeon, N.; and Chainais, P.\n\n\n \n\n\n\n In Proc. IEEE Int. Workshop Machine Learning for Signal Processing (MLSP), Aalborg, Denmark, Sept. 2018. \n Finalist of the Best Student Paper Award\n\n\n\n
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@Inproceedings{Vono_IEEE_MLSP_2018,\n  author       = {M. Vono and N. Dobigeon and P. Chainais},\n  title        = {Sparse {B}ayesian binary logistic regression using the split-and-augmented {G}ibbs sampler},\n  booktitle    = {Proc. IEEE Int. Workshop Machine Learning for Signal Processing (MLSP)},\n  year         = {2018},\n  month        = {Sept.},\n  address      = {Aalborg, Denmark},\n  pages        = {},\n  webpage      = {http://dobigeon.perso.enseeiht.fr/applications/app_logregression.html},\n  note         = {Finalist of the Best Student Paper Award},\n  type\t\t   = {International conferences},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Reconstruction of partially sampled EELS images.\n \n \n \n\n\n \n Monier, E.; Oberlin, T.; Brun, N.; de Frutos, M.; Tencé, M.; and Dobigeon, N.\n\n\n \n\n\n\n In Proc. IEEE GRSS Workshop on Hyperspectral Image and SIgnal Processing: Evolution in Remote Sensing (WHISPERS), Amsterdam, Netherlands, Sept. 2018. \n \n\n\n\n
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@Inproceedings{Monier_IEEE_WHISPERS_2018,\n  author       = {E. Monier and Th. Oberlin and N. Brun and M. de Frutos and M. Tenc\\'e and N. Dobigeon},\n  title        = {Reconstruction of partially sampled {EELS} images},\n  booktitle    = {Proc. IEEE GRSS Workshop on Hyperspectral Image and SIgnal Processing: Evolution in Remote Sensing (WHISPERS)},\n  year         = {2018},\n  month        = {Sept.},\n  address      = {Amsterdam, Netherlands},\n  pages        = {},\n  type\t\t   = {International conferences},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n A multiple endmember mixing model to handle spectral variability.\n \n \n \n\n\n \n Uezato, T.; Fauvel, M.; and Dobigeon, N.\n\n\n \n\n\n\n In Proc. IEEE GRSS Workshop on Hyperspectral Image and SIgnal Processing: Evolution in Remote Sensing (WHISPERS), Amsterdam, Netherlands, Sept. 2018. \n \n\n\n\n
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@Inproceedings{Uezato_IEEE_WHISPERS_2018,\n  author       = {T. Uezato and M. Fauvel and N. Dobigeon},\n  title        = {A multiple endmember mixing model to handle spectral variability},\n  booktitle    = {Proc. IEEE GRSS Workshop on Hyperspectral Image and SIgnal Processing: Evolution in Remote Sensing (WHISPERS)},\n  year         = {2018},\n  month        = {Sept.},\n  address      = {Amsterdam, Netherlands},\n  pages        = {},\n  type\t\t   = {International conferences},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n A comparative study of fusion-based change detection methods for multi-band images with different spectral and spatial resolutions.\n \n \n \n\n\n \n Ferraris, V.; Yokoya, N.; Dobigeon, N.; and Chabert, M.\n\n\n \n\n\n\n In Proc. IEEE Int. Geosci. Remote Sens. Symp. (IGARSS), pages 5021–5024, Valencia, Spain, July 2018. \n \n\n\n\n
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@Inproceedings{Ferraris_IEEE_IGARSS_2018,\n  author       = {V. Ferraris and N. Yokoya and N. Dobigeon and M. Chabert},\n  title        = {A comparative study of fusion-based change detection methods for multi-band images\n                  with different spectral and spatial resolutions},\n  booktitle    = {Proc. IEEE Int. Geosci. Remote Sens. Symp. (IGARSS)},\n  year         = {2018},\n  month        = {July},\n  address      = {Valencia, Spain},\n  pages        = {5021--5024},\n  type\t\t   = {International conferences},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n LiDAR-driven spatial regularization for hyperspectral unmixing.\n \n \n \n\n\n \n Uezato, T.; Fauvel, M.; and Dobigeon, N.\n\n\n \n\n\n\n In Proc. IEEE Int. Geosci. Remote Sens. Symp. (IGARSS), pages 1740–1743, Valencia, Spain, July 2018. \n \n\n\n\n
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@Inproceedings{Uezato_IEEE_IGARSS_2018,\n  author       = {T. Uezato and M. Fauvel and N. Dobigeon},\n  title        = {{LiDAR}-driven spatial regularization for hyperspectral unmixing},\n  booktitle    = {Proc. IEEE Int. Geosci. Remote Sens. Symp. (IGARSS)},\n  year         = {2018},\n  month        = {July},\n  address      = {Valencia, Spain},\n  pages        = {1740--1743},\n  type\t\t   = {International conferences},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n A Bayesian model for joint unmixing and robust classification of hyperspectral image.\n \n \n \n\n\n \n Lagrange, A.; Fauvel, M.; May, S.; and Dobigeon, N.\n\n\n \n\n\n\n In Proc. IEEE Int. Conf. Acoust., Speech, and Signal Processing (ICASSP), pages 3399–3403, Calgary, Canada, April 2018. \n \n\n\n\n
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@Inproceedings{Lagrange_IEEE_ICASSP_2018,\n  author       = {A. Lagrange and M. Fauvel and S. May and N. Dobigeon},\n  title        = {A {B}ayesian model for joint unmixing and robust classification of hyperspectral image},\n  booktitle    = {Proc. IEEE Int. Conf. Acoust., Speech, and Signal Processing (ICASSP)},\n  address      = {Calgary, Canada},\n  month        = {April},\n  year         = {2018},\n  pages        = {3399--3403},\n  type\t\t   = {International conferences},  \n}\n\n\n\n
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\n  \n 2017\n \n \n (8)\n \n \n
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\n \n\n \n \n \n \n \n Unmixing Dynamic PET images with a PALM algorithm.\n \n \n \n\n\n \n Cavalcanti, Y. C.; Oberlin, T.; Dobigeon, N.; and Tauber, C.\n\n\n \n\n\n\n In Proc. European Signal Processing Conf. (EUSIPCO), pages 425–429, Kos, Greece, Sept. 2017. \n \n\n\n\n
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@Inproceedings{Cavalcanti_EUSIPCO_2017,\n  author       = {Y. Cruz Cavalcanti and Th. Oberlin and N. Dobigeon and C. Tauber},\n  title        = {Unmixing Dynamic {PET} images with a {PALM} algorithm},\n  booktitle    = {Proc. European Signal Processing Conf. (EUSIPCO)},\n  address      = {Kos, Greece},\n  year         = {2017},\n  month        = {Sept.},\n  pages        = {425--429},\n  type\t\t   = {International conferences},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Unmixing multitemporal hyperspectral images accounting for smooth and abrupt variations.\n \n \n \n\n\n \n Thouvenin, P.; Dobigeon, N.; and Tourneret, J.\n\n\n \n\n\n\n In Proc. European Signal Processing Conf. (EUSIPCO), pages 2378–2382, Kos, Greece, Sept. 2017. \n \n\n\n\n
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@Inproceedings{Thouvenin_EUSIPCO_2017,\n  author       = {P.-A. Thouvenin and N. Dobigeon and J.-Y. Tourneret},\n  title        = {Unmixing multitemporal hyperspectral images accounting for smooth and abrupt variations},\n  booktitle    = {Proc. European Signal Processing Conf. (EUSIPCO)},\n  address      = {Kos, Greece},\n  year         = {2017},\n  month        = {Sept.},\n  pages        = {2378--2382},\n  type\t\t   = {International conferences},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Reconstruction of randomly and partially sampled STEM spectrum-images.\n \n \n \n\n\n \n Monier, E.; Oberlin, T.; Brun, N.; Tencé, M.; and Dobigeon, N.\n\n\n \n\n\n\n In Microscopy & MicroAnalysis (MM), volume 23, pages 170–171, Saint Louis, USA, Aug. 2017. \n \n\n\n\n
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@Inproceedings{Monier_MM_2017,\n  author       = {E. Monier and Th. Oberlin and N. Brun and M. Tenc\\'e and N. Dobigeon},\n  title        = {Reconstruction of randomly and partially sampled {STEM} spectrum-images},\n  booktitle    = {Microscopy & MicroAnalysis (MM)},\n  address      = {Saint Louis, USA},\n  volume       = {23},\n  issue        = {S1},\n  month        = {Aug.},\n  year         = {2017},\n  pages        = {170--171},\n  type\t\t   = {International conferences},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Fast hyperspectral unmixing in presence of sparse multiple scattering nonlinearities.\n \n \n \n\n\n \n Halimi, A.; Bioucas-Dias, J. M.; Dobigeon, N.; Buller, G. S.; and McLaughlin, S.\n\n\n \n\n\n\n In Proc. IEEE Int. Conf. Acoust., Speech, and Signal Processing (ICASSP), pages 3111–3115, New Orleans, USA, March 2017. \n \n\n\n\n
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@Inproceedings{Halimi_IEEE_ICASSP_2017,\n  author       = {A. Halimi and J. M. {Bioucas-Dias} and N. Dobigeon and G. S. Buller and S. McLaughlin},\n  title        = {Fast hyperspectral unmixing in presence of sparse multiple scattering nonlinearities},\n  booktitle    = {Proc. IEEE Int. Conf. Acoust., Speech, and Signal Processing (ICASSP)},\n  address      = {New Orleans, USA},\n  month        = {March},\n  year         = {2017},\n  pages        = {3111--3115},\n  type\t\t   = {International conferences},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Bayesian nonparametric subspace estimation.\n \n \n \n\n\n \n Elvira, C.; Chainais, P.; and Dobigeon, N.\n\n\n \n\n\n\n In Proc. IEEE Int. Conf. Acoust., Speech, and Signal Processing (ICASSP), pages 2247–2251, New Orleans, USA, March 2017. \n Student paper contest finalist\n\n\n\n
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@Inproceedings{Elvira_IEEE_ICASSP_2017,\n  author       = {C. Elvira and P. Chainais and N. Dobigeon},\n  title        = {Bayesian nonparametric subspace estimation},\n  booktitle    = {Proc. IEEE Int. Conf. Acoust., Speech, and Signal Processing (ICASSP)},\n  address      = {New Orleans, USA},\n  month        = {March},\n  year         = {2017},\n  pages        = {2247--2251},\n  note\t\t   = {Student paper contest finalist},\n  type\t\t   = {International conferences},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Bayesian-driven criterion to automatically select the regularization parameter in the $\\ell_1$-Potts model.\n \n \n \n\n\n \n Frecon, J.; Pustelnik, N.; Dobigeon, N.; Wendt, H.; and Abry, P.\n\n\n \n\n\n\n In Proc. IEEE Int. Conf. Acoust., Speech, and Signal Processing (ICASSP), pages 3839–3843, New Orleans, USA, March 2017. \n \n\n\n\n
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@Inproceedings{Frecon_IEEE_ICASSP_2017,\n  author       = {J. Frecon and N. Pustelnik and N. Dobigeon and H. Wendt and P. Abry},\n  title        = {Bayesian-driven criterion to automatically select the regularization parameter in the $\\ell_1$-Potts model},\n  booktitle    = {Proc. IEEE Int. Conf. Acoust., Speech, and Signal Processing (ICASSP)},\n  address      = {New Orleans, USA},\n  month        = {March},\n  year         = {2017},\n  pages        = {3839--3843},\n  type\t\t   = {International conferences},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Change detection between multi-band images using a robust fusion-based approach.\n \n \n \n\n\n \n Ferraris, V.; Dobigeon, N.; Wei, Q.; and Chabert, M.\n\n\n \n\n\n\n In Proc. IEEE Int. Conf. Acoust., Speech, and Signal Processing (ICASSP), pages 3346–3350, New Orleans, USA, March 2017. \n \n\n\n\n
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@Inproceedings{Ferraris_IEEE_ICASSP_2017,\n  author       = {V. Ferraris and N. Dobigeon and Q. Wei and M. Chabert},\n  title        = {Change detection between multi-band images using a robust fusion-based approach},\n  booktitle    = {Proc. IEEE Int. Conf. Acoust., Speech, and Signal Processing (ICASSP)},\n  address      = {New Orleans, USA},\n  month        = {March},\n  year         = {2017},\n  pages        = {3346--3350},\n  type\t\t   = {International conferences},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n A generalized Swendsen-Wang algorithm for Bayesian nonparametric joint segmentation of multiple images.\n \n \n \n\n\n \n Sodjo, J.; Giremus, A.; Dobigeon, N.; and Giovannelli, J.\n\n\n \n\n\n\n In Proc. IEEE Int. Conf. Acoust., Speech, and Signal Processing (ICASSP), pages 1882–1886, New Orleans, USA, March 2017. \n \n\n\n\n
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@Inproceedings{Sodjo_IEEE_ICASSP_2017,\n  author       = {J. Sodjo and A. Giremus and N. Dobigeon and J.-F. Giovannelli},\n  title        = {A generalized {S}wendsen-{W}ang algorithm for {B}ayesian nonparametric joint segmentation of multiple images},\n  booktitle    = {Proc. IEEE Int. Conf. Acoust., Speech, and Signal Processing (ICASSP)},\n  address      = {New Orleans, USA},\n  month        = {March},\n  year         = {2017},\n  pages        = {1882--1886},\n  type\t\t   = {International conferences},  \n}\n\n\n\n
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\n  \n 2016\n \n \n (6)\n \n \n
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\n \n\n \n \n \n \n \n Blind model-based fusion of multi-band and panchromatic images.\n \n \n \n\n\n \n Wei, Q.; Bioucas-Dias, J. M.; Dobigeon, N.; Tourneret, J.; and Godsill, S.\n\n\n \n\n\n\n In IEEE Int. Conf. Multisensor Fusion Integration Intell. Syst. (MFI), pages 21–25, Baden-Baden, Germany, July 2016. \n \n\n\n\n
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@Inproceedings{Wei_IEEE_MFI_2016,\n  author       = {Q. Wei and J. M. {Bioucas-Dias} and N. Dobigeon and J.-Y. Tourneret and S. Godsill},\n  title        = {Blind model-based fusion of multi-band and panchromatic images},\n  booktitle    = {IEEE Int. Conf. Multisensor Fusion Integration Intell. Syst. (MFI)},\n  year         = {2016},\n  month        = {July},\n  address      = {Baden-Baden, Germany},\n  pages        = {21--25},\n  type\t\t   = {International conferences},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Hyperspectral EELS image unmixing.\n \n \n \n\n\n \n Altmann, Y.; Brun, N.; Dobigeon, N.; March, K.; Moussaoui, S.; and Schneegans, O.\n\n\n \n\n\n\n In IASIM Conference in Spectral Imaging, Chamonix, France, July 2016. \n \n\n\n\n
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@Inproceedings{Altmann_IASIM_2016,\n  author       = {Y. Altmann and N. Brun and N. Dobigeon and K. March and S. Moussaoui and O. Schneegans},\n  title        = {Hyperspectral {EELS} image unmixing},\n  booktitle    = {IASIM Conference in Spectral Imaging},\n  year         = {2016},\n  month        = {July},\n  address      = {Chamonix, France},\n  type\t\t   = {International conferences},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n High-resolution Hyperspectral Image Fusion Based on Spectral Unmixing.\n \n \n \n\n\n \n Wei, Q.; Godsill, S.; Bioucas-Dias, J. M.; Dobigeon, N.; and Tourneret, J.\n\n\n \n\n\n\n In IEEE Int. Conf. Info. Fusion (FUSION), pages 1714–1719, Heidelberg, Germany, July 2016. \n \n\n\n\n
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@Inproceedings{Wei_IEEE_FUSION_2016,\n  author       = {Q. Wei and S. Godsill and J. M. {Bioucas-Dias} and N. Dobigeon and J.-Y. Tourneret},\n  title        = {High-resolution Hyperspectral Image Fusion Based on Spectral Unmixing},\n  booktitle    = {IEEE Int. Conf. Info. Fusion (FUSION)},\n  year         = {2016},\n  month        = {July},\n  address      = {Heidelberg, Germany},\n  pages        = {1714--1719},\n  type\t\t   = {International conferences},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Joint segmentation of multiple images with shared classes: a Bayesian nonparametrics approach.\n \n \n \n\n\n \n Sodjo, J.; Giremus, A.; Caron, F.; Giovannelli, J.; and Dobigeon, N.\n\n\n \n\n\n\n In Proc. IEEE Workshop on Statistical Signal Processing (SSP), pages 1–5, Palma de Mallorca, Spain, June 2016. \n \n\n\n\n
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@Inproceedings{Sodjo_IEEE_SSP_2016,\n  author       = {J. Sodjo and A. Giremus and F. Caron and J.-F. Giovannelli and N. Dobigeon},\n  title        = {Joint segmentation of multiple images with shared classes: a {B}ayesian nonparametrics approach},\n  booktitle    = {Proc. IEEE Workshop on Statistical Signal Processing (SSP)},\n  year         = {2016},\n  month        = {June},\n  address      = {Palma de Mallorca, Spain},\n  pages        = {1--5},\n  type\t\t   = {International conferences},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Democratic prior for anti-sparse coding.\n \n \n \n\n\n \n Elvira, C.; Chainais, P.; and Dobigeon, N.\n\n\n \n\n\n\n In Proc. IEEE Workshop on Statistical Signal Processing (SSP), pages 1–5, Palma de Mallorca, Spain, June 2016. \n \n\n\n\n
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@Inproceedings{Elvira_IEEE_SSP_2016,\n  author       = {C. Elvira and P. Chainais and N. Dobigeon},\n  title        = {Democratic prior for anti-sparse coding},\n  booktitle    = {Proc. IEEE Workshop on Statistical Signal Processing (SSP)},\n  year         = {2016},\n  month        = {June},\n  address      = {Palma de Mallorca, Spain},\n  pages        = {1--5},\n  type\t\t   = {International conferences},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Unmixing multitemporal hyperspectral images with variability: an online algorithm.\n \n \n \n\n\n \n Thouvenin, P.; Dobigeon, N.; and Tourneret, J.\n\n\n \n\n\n\n In Proc. IEEE Int. Conf. Acoust., Speech, and Signal Processing (ICASSP), pages 3351–3355, Shangai, China, March 2016. \n \n\n\n\n
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@Inproceedings{Thouvenin_IEEE_ICASSP_2016,\n  author       = {P.-A. Thouvenin and N. Dobigeon and J.-Y. Tourneret},\n  title        = {Unmixing multitemporal hyperspectral images with variability: an online algorithm},\n  booktitle    = {Proc. IEEE Int. Conf. Acoust., Speech, and Signal Processing (ICASSP)},\n  address      = {Shangai, China},\n  month        = {March},\n  year         = {2016},\n  pages        = {3351--3355},\n  type\t\t   = {International conferences},  \n}\n\n\n\n
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\n  \n 2015\n \n \n (8)\n \n \n
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\n \n\n \n \n \n \n \n FUSE: a fast multi-band image fusion algorithm.\n \n \n \n\n\n \n Wei, Q.; Dobigeon, N.; and Tourneret, J.\n\n\n \n\n\n\n In Proc. IEEE Int. Workshop Comput. Adv. in Multi-Sensor Adaptive Process. (CAMSAP), pages 161–164, Cancun, Mexico, Dec. 2015. \n Student paper contest finalist\n\n\n\n
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@Inproceedings{Wei_IEEE_CAMSAP_2015,\n  author       = {Q. Wei and N. Dobigeon and J.-Y. Tourneret},\n  title        = {FUSE: a fast multi-band image fusion algorithm},\n  booktitle    = {Proc. IEEE Int. Workshop Comput. Adv. in Multi-Sensor Adaptive Process. (CAMSAP)},\n  address      = {Cancun, Mexico},\n  month        = {Dec.},\n  year         = {2015},\n  pages        = {161--164},\n  note\t\t   = {Student paper contest finalist},\n  type\t\t   = {International conferences},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Unmixing multitemporal hyperspectral images accounting for endmember variability.\n \n \n \n\n\n \n Halimi, A.; Dobigeon, N.; Tourneret, J.; McLaughlin, S.; and Honeine, P.\n\n\n \n\n\n\n In Proc. European Signal Processing Conf. (EUSIPCO), pages 1686–1690, Nice, France, Sept. 2015. \n \n\n\n\n
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@Inproceedings{Halimi_EUSIPCO_2015,\n  author       = {A. Halimi and N. Dobigeon and J.-Y. Tourneret and S. McLaughlin and P. Honeine},\n  title        = {Unmixing multitemporal hyperspectral images accounting for endmember variability},\n  booktitle    = {Proc. European Signal Processing Conf. (EUSIPCO)},\n  address      = {Nice, France},\n  year         = {2015},\n  month        = {Sept.},\n  pages        = {1686--1690},\n  type\t\t   = {International conferences},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n A perturbed linear mixing model accounting for spectral variability.\n \n \n \n\n\n \n Thouvenin, P.; Dobigeon, N.; and Tourneret, J.\n\n\n \n\n\n\n In Proc. European Signal Processing Conf. (EUSIPCO), pages 819–823, Nice, France, Sept. 2015. \n \n\n\n\n
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@Inproceedings{Thouvenin_EUSIPCO_2015,\n  author       = {P.-A. Thouvenin and N. Dobigeon and J.-Y. Tourneret},\n  title        = {A perturbed linear mixing model accounting for spectral variability},\n  booktitle    = {Proc. European Signal Processing Conf. (EUSIPCO)},\n  address      = {Nice, France},\n  year         = {2015},\n  month        = {Sept.},\n  pages        = {819--823},\n  type\t\t   = {International conferences},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Bayesian fusion of multispectral and hyperspectral images using a block coordinate descent method.\n \n \n \n\n\n \n Wei, Q.; and Dobigeon, N.\n\n\n \n\n\n\n In Proc. IEEE GRSS Workshop on Hyperspectral Image and SIgnal Processing: Evolution in Remote Sensing (WHISPERS), Tokyo, Japan, 2015. \n \n\n\n\n
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@Inproceedings{Wei_IEEE_WHISPERS_2015,\n  author       = {Q. Wei and N. Dobigeon},\n  title        = {Bayesian fusion of multispectral and hyperspectral images using a block coordinate descent method},\n  booktitle    = {Proc. IEEE GRSS Workshop on Hyperspectral Image and SIgnal Processing: Evolution in Remote Sensing (WHISPERS)},\n  address      = {Tokyo, Japan},\n  year         = {2015},\n  type\t\t   = {International conferences},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Hyperspectral unmixing accounting for spatial correlations and endmember variability.\n \n \n \n\n\n \n Halimi, A.; Dobigeon, N.; Tourneret, J.; and Honeine, P.\n\n\n \n\n\n\n In Proc. IEEE GRSS Workshop on Hyperspectral Image and SIgnal Processing: Evolution in Remote Sensing (WHISPERS), Tokyo, Japan, 2015. \n \n\n\n\n
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@Inproceedings{Halimi_IEEE_WHISPERS_2015,\n  author       = {A. Halimi and N. Dobigeon and J.-Y. Tourneret and P. Honeine},\n  title        = {Hyperspectral unmixing accounting for spatial correlations and endmember variability},\n  booktitle    = {Proc. IEEE GRSS Workshop on Hyperspectral Image and SIgnal Processing: Evolution in Remote Sensing (WHISPERS)},\n  address      = {Tokyo, Japan},\n  year         = {2015},\n  type\t\t   = {International conferences},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Comparison of nine hyperspectral pansharpening methods.\n \n \n \n\n\n \n Loncan, L.; Bioucas-Dias, J. M.; Briottet, X.; Chanussot, J.; Dobigeon, N.; Fabre, S.; Liao, W.; Licciardi, G.; Simoes, M.; Tourneret, J.; Veganzones, M.; Vivone, G.; Wei, Q.; and Yokoya, N.\n\n\n \n\n\n\n In Proc. IEEE Int. Geosci. Remote Sens. Symp. (IGARSS), Milan, Italy, 2015. \n \n\n\n\n
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@Inproceedings{Loncan_IEEE_IGARSS_2015,\n  author       = {L. Loncan and J. M. {Bioucas-Dias} and X. Briottet and J. Chanussot and N. Dobigeon and S. Fabre\n                  and W. Liao and G. Licciardi and M. Simoes and J.-Y. Tourneret and M. Veganzones and G. Vivone and Q. Wei and N. Yokoya},\n  title        = {Comparison of nine hyperspectral pansharpening methods},\n  booktitle    = {Proc. IEEE Int. Geosci. Remote Sens. Symp. (IGARSS)},\n  address      = {Milan, Italy},\n  year         = {2015},\n  type\t\t   = {International conferences},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n A new Bayesian unmixing algorithm for hyperspectral images mitigating endmember variability.\n \n \n \n\n\n \n Halimi, A.; Dobigeon, N.; Tourneret, J.; and Honeine, P.\n\n\n \n\n\n\n In Proc. IEEE Int. Conf. Acoust., Speech, and Signal Processing (ICASSP), pages 2469–2473, Brisbane, Autralia, Apr. 2015. \n \n\n\n\n
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@Inproceedings{Halimi_IEEE_ICASSP_2015,\n  author       = {A. Halimi and N. Dobigeon and J.-Y. Tourneret and P. Honeine},\n  title        = {A new {B}ayesian unmixing algorithm for hyperspectral images mitigating endmember variability},\n  booktitle    = {Proc. IEEE Int. Conf. Acoust., Speech, and Signal Processing (ICASSP)},\n  address      = {Brisbane, Autralia},\n  month        = {Apr.},\n  year         = {2015},\n  pages        = {2469--2473},\n  type\t\t   = {International conferences},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n A Bayesian approach for the joint estimation of the multifractality parameter and integral scale based on the Whittle approximation.\n \n \n \n\n\n \n Combrexelle, S.; Wendt, H.; Abry, P.; Dobigeon, N.; Tourneret, J.; and McLaughlin, S.\n\n\n \n\n\n\n In Proc. IEEE Int. Conf. Acoust., Speech, and Signal Processing (ICASSP), pages 3886–3890, Brisbane, Autralia, Apr. 2015. \n \n\n\n\n
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@Inproceedings{Combrexelle_IEEE_ICASSP_2015,\n  author       = {S. Combrexelle and H. Wendt and P. Abry and N. Dobigeon and J.-Y. Tourneret and S. McLaughlin},\n  title        = {A {B}ayesian approach for the joint estimation of the multifractality parameter and integral scale based on the {W}hittle approximation},\n  booktitle    = {Proc. IEEE Int. Conf. Acoust., Speech, and Signal Processing (ICASSP)},\n  address      = {Brisbane, Autralia},\n  month        = {Apr.},\n  year         = {2015},\n  pages        = {3886--3890},\n  webpage      = {http://www.irit.fr/~Herwig.Wendt/software.html#bayesc2},\n  type\t\t   = {International conferences},  \n}\n\n\n\n
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\n  \n 2014\n \n \n (10)\n \n \n
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\n \n\n \n \n \n \n \n Inverse problem formulation for regularity estimation in images.\n \n \n \n\n\n \n Pustelnik, N.; Abry, P.; Wendt, H.; and Dobigeon, N.\n\n\n \n\n\n\n In Proc. IEEE Int. Conf. Image Processing (ICIP), pages 6081–6085, Paris, France, Oct. 2014. \n Top 10% Paper Award\n\n\n\n
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@Inproceedings{Pustelnik_IEEE_ICIP_2014,\n  author       = {N. Pustelnik and P. Abry and H. Wendt and N. Dobigeon},\n  title        = {Inverse problem formulation for regularity estimation in images},\n  booktitle    = {Proc. IEEE Int. Conf. Image Processing (ICIP)},\n  month        = {Oct.},\n  year         = {2014},\n  address      = {Paris, France},\n  pages        = {6081--6085},\n  note         = {Top 10% Paper Award},\n  type\t\t   = {International conferences},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Bayesian fusion of multispectral and hyperspectral images with unknown sensor spectral response.\n \n \n \n\n\n \n Wei, Q.; Dobigeon, N.; and Tourneret, J.\n\n\n \n\n\n\n In Proc. IEEE Int. Conf. Image Processing (ICIP), pages 698–702, Paris, France, Oct. 2014. \n Invited paper\n\n\n\n
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@Inproceedings{Wei_IEEE_ICIP_2014,\n  author       = {Q. Wei and N. Dobigeon and J.-Y. Tourneret},\n  title        = {Bayesian fusion of multispectral and hyperspectral images with unknown sensor spectral response},\n  booktitle    = {Proc. IEEE Int. Conf. Image Processing (ICIP)},\n  year         = {2014},\n  month        = {Oct.},\n  address      = {Paris, France},\n  pages        = {698--702},\n  note         = {Invited paper},\n  type\t\t   = {International conferences},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Hybrid Bayesian variational scheme to handle parameter selection in total variation signal denoising.\n \n \n \n\n\n \n Frecon, J.; Pustelnik, N.; Dobigeon, N.; Wendt, H.; and Abry, P.\n\n\n \n\n\n\n In Proc. European Signal Processing Conf. (EUSIPCO), pages 1716–1720, Lisbon, Portugal, Sept. 2014. \n \n\n\n\n
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@Inproceedings{Frecon_EUSIPCO_2014,\n  author       = {J. Frecon and N. Pustelnik and N. Dobigeon and H. Wendt and P. Abry},\n  title        = {Hybrid Bayesian variational scheme to handle parameter selection in total variation signal denoising},\n  booktitle    = {Proc. European Signal Processing Conf. (EUSIPCO)},\n  year         = {2014},\n  month        = {Sept.},\n  address      = {Lisbon, Portugal},\n  pages        = {1716--1720},\n  type\t\t   = {International conferences},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Fusion of multispectral and hyperspectral images based on sparse representation.\n \n \n \n\n\n \n Wei, Q.; Bioucas-Dias, J. M.; Dobigeon, N.; and Tourneret, J.\n\n\n \n\n\n\n In Proc. European Signal Processing Conf. (EUSIPCO), pages 1577–1581, Lisbon, Portugal, Sept. 2014. \n Invited paper\n\n\n\n
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@Inproceedings{Wei_EUSIPCO_2014,\n  author       = {Q. Wei and J. M. {Bioucas-Dias} and N. Dobigeon and J.-Y. Tourneret},\n  title        = {Fusion of multispectral and hyperspectral images based on sparse representation},\n  booktitle    = {Proc. European Signal Processing Conf. (EUSIPCO)},\n  year         = {2014},\n  month        = {Sept.},\n  address      = {Lisbon, Portugal},\n  pages        = {1577--1581},\n  note         = {Invited paper},\n  type\t\t   = {International conferences},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Learning a fast transform with a dictionary.\n \n \n \n\n\n \n Chabiron, O.; Malgouyres, F.; Tourneret, J.; and Dobigeon, N.\n\n\n \n\n\n\n In Proc. Int. Traveling Workshop Interactions between Sparse models and Technology (iTWIST), Namur, Belgium, Aug. 2014. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Inproceedings{Chabiron_iTWIST_2014,\n  author       = {O. Chabiron and F. Malgouyres and J.-Y. Tourneret and N. Dobigeon},\n  title        = {Learning a fast transform with a dictionary},\n  booktitle    = {Proc. Int. Traveling Workshop Interactions between Sparse models and Technology (iTWIST)},\n  year         = {2014},\n  month        = {Aug.},\n  address      = {Namur, Belgium},\n  type\t\t   = {International conferences},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Sampling from a multivariate gaussian distribution truncated on a simplex: a review.\n \n \n \n\n\n \n Altmann, Y.; McLaughlin, S.; and Dobigeon, N.\n\n\n \n\n\n\n In Proc. IEEE Workshop on Statistical Signal Processing (SSP), pages 113–116, Gold Coast, Australia, July 2014. \n Invited paper\n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Inproceedings{Altmann_IEEE_SSP_2014,\n  author       = {Y. Altmann and S. McLaughlin and N. Dobigeon},\n  title        = {Sampling from a multivariate gaussian distribution truncated on a simplex: a review},\n  booktitle    = {Proc. IEEE Workshop on Statistical Signal Processing (SSP)},\n  year         = {2014},\n  month        = {July},\n  address      = {Gold Coast, Australia},\n  note         = {Invited paper},\n  pages        = {113--116},\n  type\t\t   = {International conferences},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Nonlinear unmixing of vegetated areas: a model comparison based on simulated and real hyperspectral data.\n \n \n \n\n\n \n Dobigeon, N.; Tits, L.; Somers, B.; Altmann, Y.; and Coppin, P.\n\n\n \n\n\n\n In Proc. IEEE GRSS Workshop on Hyperspectral Image and SIgnal Processing: Evolution in Remote Sensing (WHISPERS), Lausanne, Switzerland, June 2014. \n invited paper\n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Inproceedings{Dobigeon_IEEE_WHISPERS_2014,\n  author       = {N. Dobigeon and L. Tits and B. Somers and Y. Altmann and P. Coppin},\n  title        = {Nonlinear unmixing of vegetated areas: a model comparison based on simulated and real hyperspectral data},\n  booktitle    = {Proc. IEEE GRSS Workshop on Hyperspectral Image and SIgnal Processing: Evolution in Remote Sensing (WHISPERS)},\n  year         = {2014},\n  month        = {June},\n  address      = {Lausanne, Switzerland},\n  note         = {invited paper},\n  type\t\t   = {International conferences},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Residual component analysis of hyperspectral images for joint nonlinear unmixing and nonlinearity detection.\n \n \n \n\n\n \n Altmann, Y.; Dobigeon, N.; Tourneret, J.; and McLaughlin, S.\n\n\n \n\n\n\n In Proc. IEEE Int. Conf. Acoust., Speech, and Signal Processing (ICASSP), pages 3166–3170, Florence, Italy, May 2014. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Inproceedings{Altmann_IEEE_ICASSP_2014,\n  author       = {Y. Altmann and N. Dobigeon and J.-Y. Tourneret and S. McLaughlin},\n  title        = {Residual component analysis of hyperspectral images for joint nonlinear unmixing and nonlinearity detection},\n  booktitle    = {Proc. IEEE Int. Conf. Acoust., Speech, and Signal Processing (ICASSP)},\n  year         = {2014},\n  month        = {May},\n  address      = {Florence, Italy},\n  pages        = {3166--3170},\n  type\t\t   = {International conferences},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Bayesian fusion of hyperspectral and multispectral images.\n \n \n \n\n\n \n Wei, Q.; Dobigeon, N.; and Tourneret, J.\n\n\n \n\n\n\n In Proc. IEEE Int. Conf. Acoust., Speech, and Signal Processing (ICASSP), pages 3176–3180, Florence, Italy, May 2014. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Inproceedings{Wei_IEEE_ICASSP_2014,\n  author       = {Q. Wei and N. Dobigeon and J.-Y. Tourneret},\n  title        = {Bayesian fusion of hyperspectral and multispectral images},\n  booktitle    = {Proc. IEEE Int. Conf. Acoust., Speech, and Signal Processing (ICASSP)},\n  year         = {2014},\n  month        = {May},\n  address      = {Florence, Italy},\n  pages        = {3176--3180},\n  type\t\t   = {International conferences},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n A hierarchical sparsity-smoothness Bayesian model for L0-L1-L2 regularization.\n \n \n \n\n\n \n Chaari, L.; Batatia, H.; Dobigeon, N.; and Tourneret, J.\n\n\n \n\n\n\n In Proc. IEEE Int. Conf. Acoust., Speech, and Signal Processing (ICASSP), pages 1901–1905, Florence, Italy, May 2014. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Inproceedings{Chaari_IEEE_ICASSP_2014,\n  author       = {L. Chaari and H. Batatia and N. Dobigeon and J.-Y. Tourneret},\n  title        = {A hierarchical sparsity-smoothness Bayesian model for L0-L1-L2 regularization},\n  booktitle    = {Proc. IEEE Int. Conf. Acoust., Speech, and Signal Processing (ICASSP)},\n  year         = {2014},\n  month        = {May},\n  address      = {Florence, Italy},\n  pages        = {1901--1905},\n  type\t\t   = {International conferences},  \n}\n\n\n\n
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\n  \n 2013\n \n \n (5)\n \n \n
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\n \n\n \n \n \n \n \n Bayesian unsupervised unmixing of hyperspectral images using a post-nonlinear model.\n \n \n \n\n\n \n Altmann, Y.; Dobigeon, N.; and Tourneret, J.\n\n\n \n\n\n\n In Proc. European Signal Processing Conf. (EUSIPCO), pages 1–5, Marrakech, Morrocco, Sept. 2013. \n \n\n\n\n
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@Inproceedings{Altmann_EUSIPCO_2013,\n  author       = {Y. Altmann and N. Dobigeon and J.-Y. Tourneret},\n  title        = {Bayesian unsupervised unmixing of hyperspectral images using a post-nonlinear model},\n  booktitle    = {Proc. European Signal Processing Conf. (EUSIPCO)},\n  year         = {2013},\n  month        = {Sept.},\n  address      = {Marrakech, Morrocco},\n  pages        = {1--5},\n  type\t\t   = {International conferences},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Robust nonnegative matrix factorization for nonlinear unmixing of hyperspectral images.\n \n \n \n\n\n \n Dobigeon, N.; and Févotte, C.\n\n\n \n\n\n\n In Proc. IEEE GRSS Workshop on Hyperspectral Image and SIgnal Processing: Evolution in Remote Sensing (WHISPERS), Gainesville, FL, June 2013. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Inproceedings{Dobigeon_IEEE_WHISPERS_2013,\n  author       = {N. Dobigeon and C. F\\'evotte},\n  title        = {Robust nonnegative matrix factorization for nonlinear unmixing of hyperspectral images},\n  booktitle    = {Proc. IEEE GRSS Workshop on Hyperspectral Image and SIgnal Processing: Evolution in Remote Sensing (WHISPERS)},\n  year         = {2013},\n  month        = {June},\n  address      = {Gainesville, FL},\n  type\t\t   = {International conferences},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Nonlinear hyperspectral unmixing using Gaussian processes.\n \n \n \n\n\n \n Altmann, Y.; Dobigeon, N.; Tourneret, J.; and McLaughlin, S.\n\n\n \n\n\n\n In Proc. IEEE GRSS Workshop on Hyperspectral Image and SIgnal Processing: Evolution in Remote Sensing (WHISPERS), Gainesville, FL, June 2013. \n Invited paper, Best Paper Award\n\n\n\n
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@Inproceedings{Altmann_IEEE_WHISPERS_2013,\n  author       = {Y. Altmann and N. Dobigeon and J.-Y. Tourneret and S. McLaughlin},\n  title        = {Nonlinear hyperspectral unmixing using Gaussian processes},\n  booktitle    = {Proc. IEEE GRSS Workshop on Hyperspectral Image and SIgnal Processing: Evolution in Remote Sensing (WHISPERS)},\n  year         = {2013},\n  month        = {June},\n  address      = {Gainesville, FL},\n  note         = {Invited paper, Best Paper Award},\n  type\t\t   = {International conferences},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n A robust test for nonlinear mixture detection in hyperspectral images.\n \n \n \n\n\n \n Altmann, Y.; Dobigeon, N.; Tourneret, J.; and Bermudez, J. C. M.\n\n\n \n\n\n\n In Proc. IEEE Int. Conf. Acoust., Speech, and Signal Processing (ICASSP), pages 2149–2153, Vancouver, Canada, June 2013. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Inproceedings{Altmann_IEEE_ICASSP_2013,\n  author       = {Y. Altmann and N. Dobigeon and J.-Y. Tourneret and J. C. M. Bermudez},\n  title        = {A robust test for nonlinear mixture detection in hyperspectral images},\n  booktitle    = {Proc. IEEE Int. Conf. Acoust., Speech, and Signal Processing (ICASSP)},\n  year         = {2013},\n  month        = {June},\n  address      = {Vancouver, Canada},\n  pages        = {2149--2153},\n  type\t\t   = {International conferences},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Bayesian estimation for the multifractality parameter.\n \n \n \n\n\n \n Wendt, H.; Dobigeon, N.; Tourneret, J.; and Abry, P.\n\n\n \n\n\n\n In Proc. IEEE Int. Conf. Acoust., Speech, and Signal Processing (ICASSP), pages 6556–6560, Vancouver, Canada, June 2013. \n \n\n\n\n
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@Inproceedings{Wendt_IEEE_ICASSP_2013,\n  author       = {H. Wendt and N. Dobigeon and J.-Y. Tourneret and P. Abry},\n  title        = {Bayesian estimation for the multifractality parameter},\n  booktitle    = {Proc. IEEE Int. Conf. Acoust., Speech, and Signal Processing (ICASSP)},\n  year         = {2013},\n  month        = {June},\n  address      = {Vancouver, Canada},\n  pages        = {6556--6560},\n  type\t\t   = {International conferences},  \n}\n\n\n\n
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\n  \n 2012\n \n \n (7)\n \n \n
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\n \n\n \n \n \n \n \n Bayesian analysis of time-evolving gene expression data with hidden Markov model.\n \n \n \n\n\n \n Bazot, C.; Dobigeon, N.; Tourneret, J.; and Hero, A. O.\n\n\n \n\n\n\n In Proc. European Signal Processing Conf. (EUSIPCO), pages 944–948, Bucharest, Romania, Sept. 2012. \n \n\n\n\n
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@Inproceedings{Bazot_EUSIPCO_2012,\n  author       = {C. Bazot and N. Dobigeon and J.-Y. Tourneret and A. O. Hero},\n  title        = {Bayesian analysis of time-evolving gene expression data with hidden {M}arkov model},\n  booktitle    = {Proc. European Signal Processing Conf. (EUSIPCO)},\n  year         = {2012},\n  month        = {Sept.},\n  address      = {Bucharest, Romania},\n  pages        = {944--948},\n  type\t\t   = {International conferences},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Regularized Bayesian compressed sensing in ultrasound imaging.\n \n \n \n\n\n \n Dobigeon, N.; Basarab, A.; Tourneret, J.; and Kouamé, D.\n\n\n \n\n\n\n In Proc. European Signal Processing Conf. (EUSIPCO), pages 2600–2604, Bucharest, Romania, Sept. 2012. \n \n\n\n\n
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@Inproceedings{Dobigeon_EUSIPCO_2012,\n  author       = {N. Dobigeon and A. Basarab and J.-Y. Tourneret and D. Kouam\\'e},\n  title        = {Regularized {B}ayesian compressed sensing in ultrasound imaging},\n  booktitle    = {Proc. European Signal Processing Conf. (EUSIPCO)},\n  year         = {2012},\n  month        = {Sept.},\n  address      = {Bucharest, Romania},\n  pages        = {2600--2604},\n  type\t\t   = {International conferences},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Detecting nonlinear mixtures in hyperspectral images.\n \n \n \n\n\n \n Altmann, Y.; Dobigeon, N.; and Tourneret, J.\n\n\n \n\n\n\n In Proc. IEEE GRSS Workshop on Hyperspectral Image and SIgnal Processing: Evolution in Remote Sensing (WHISPERS), Shangai, China, June 2012. \n invited paper\n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Inproceedings{Altmann_IEEE_WHISPERS_2012,\n  author       = {Y. Altmann and N. Dobigeon and J.-Y. Tourneret},\n  title        = {Detecting nonlinear mixtures in hyperspectral images},\n  booktitle    = {Proc. IEEE GRSS Workshop on Hyperspectral Image and SIgnal Processing: Evolution in Remote Sensing (WHISPERS)},\n  year         = {2012},\n  month        = {June},\n  address      = {Shangai, China},\n  note         = {invited paper},\n  type\t\t   = {International conferences},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Bayesian subspace estimation using CS decomposition.\n \n \n \n\n\n \n Besson, O.; Dobigeon, N.; and Tourneret, J.\n\n\n \n\n\n\n In Proc. IEEE Int. Conf. Acoust., Speech, and Signal Processing (ICASSP), pages 2437–2440, Kyoto, Japan, March 2012. \n \n\n\n\n
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@Inproceedings{Besson_IEEE_ICASSP_2012,\n  author       = {O. Besson and N. Dobigeon and J.-Y. Tourneret},\n  title        = {Bayesian subspace estimation using CS decomposition},\n  booktitle    = {Proc. IEEE Int. Conf. Acoust., Speech, and Signal Processing (ICASSP)},\n  year         = {2012},\n  month        = {March},\n  address      = {Kyoto, Japan},\n  pages        = {2437--2440},\n  type\t\t   = {International conferences},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Nonlinear unmixing of hyperspectral images using Gaussian processes.\n \n \n \n\n\n \n Altmann, Y.; Dobigeon, N.; McLaughlin, S.; and Tourneret, J.\n\n\n \n\n\n\n In Proc. IEEE Int. Conf. Acoust., Speech, and Signal Processing (ICASSP), pages 1249–1252, Kyoto, Japan, March 2012. \n \n\n\n\n
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@Inproceedings{Altmann_IEEE_ICASSP_2012,\n  author       = {Y. Altmann and N. Dobigeon and S. McLaughlin and J.-Y. Tourneret},\n  title        = {Nonlinear unmixing of hyperspectral images using {G}aussian processes},\n  booktitle    = {Proc. IEEE Int. Conf. Acoust., Speech, and Signal Processing (ICASSP)},\n  year         = {2012},\n  month        = {March},\n  address      = {Kyoto, Japan},\n  pages        = {1249--1252},\n  type\t\t   = {International conferences},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Constraining Martian mineralogical compositions using hyperspectral images.\n \n \n \n\n\n \n Schmidt, F.; Bourguignon, S.; Mouëlic, S. L.; Dobigeon, N.; and Tréguier, E.\n\n\n \n\n\n\n In Proc. Lunar and Planetary Science Conf. (LPSC), volume 43, The Woodlands, Texas, March 2012. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Inproceedings{Schmidt_LPSC_2012,\n  author       = {F. Schmidt and S. Bourguignon and S. Le Mou\\"elic and N. Dobigeon and E. Tr\\'eguier},\n  title        = {Constraining {M}artian mineralogical compositions using hyperspectral images},\n  booktitle    = {Proc. Lunar and Planetary Science Conf. (LPSC)},\n  volume       = {43},\n  year         = {2012},\n  month        = {March},\n  address      = {The Woodlands, Texas},\n  paper        = {1659},\n  type\t\t   = {International conferences},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Variational semi-blind sparse image reconstruction with application to MRFM.\n \n \n \n\n\n \n Park, S.; Dobigeon, N.; and Hero, A. O.\n\n\n \n\n\n\n In Bouman, C. A.; Pollak, I.; and Wolfe, P. J., editor(s), Proc. SPIE-IS&T Electronic Imaging, Computational Imaging X, volume 8296, San Francisco, CA, Jan. 2012. SPIE\n \n\n\n\n
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@Inproceedings{Park_SPIE_EI_2012,\n  author       = {S.-U. Park and N. Dobigeon and A. O. Hero},\n  title        = {Variational semi-blind sparse image reconstruction with application to {MRFM}},\n  booktitle    = {Proc. SPIE-IS\\&T Electronic Imaging, Computational Imaging X},\n  editor       = {Charles A. Bouman and Ilya Pollak and P. J. Wolfe},\n  publisher    = {SPIE},\n  year         = {2012},\n  month        = {Jan.},\n  volume       = {8296},\n  address      = {San Francisco, CA},\n  paper        = {8296-15},\n  type\t\t   = {International conferences},  \n}\n\n\n\n
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\n  \n 2011\n \n \n (20)\n \n \n
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\n \n\n \n \n \n \n \n Bayesian compressed sensing in ultrasound imaging.\n \n \n \n\n\n \n Quinsac, C.; Dobigeon, N.; Basarab, A.; Tourneret, J.; and Kouamé, D.\n\n\n \n\n\n\n In Proc. IEEE Int. Workshop Comput. Adv. in Multi-Sensor Adaptive Process. (CAMSAP), pages 101–104, San Juan, Puerto Rico, Dec. 2011. \n invited paper\n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Inproceedings{Quinsac_IEEE_CAMSAP_2011,\n  author       = {C. Quinsac and N. Dobigeon and A. Basarab and J.-Y. Tourneret and D. Kouam\\'e},\n  title        = {Bayesian compressed sensing in ultrasound imaging},\n  booktitle    = {Proc. IEEE Int. Workshop Comput. Adv. in Multi-Sensor Adaptive Process. (CAMSAP)},\n  year         = {2011},\n  month        = {Dec.},\n  address      = {San Juan, Puerto Rico},\n  pages        = {101--104},\n  webpage      = {http://dobigeon.perso.enseeiht.fr/applications/app_US.html},\n  note         = {invited paper},\n  type\t\t   = {International conferences},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Bayesian estimation of a subspace.\n \n \n \n\n\n \n Besson, O.; Dobigeon, N.; and Tourneret, J.\n\n\n \n\n\n\n In Rec. 45th IEEE Asilomar Conf. Signals, Systems and Computers (Asilomar), pages 629–633, Pacific Grove, CA, Nov. 2011. \n \n\n\n\n
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@Inproceedings{Besson_IEEE_Asilomar_2011,\n  author       = {O. Besson and N. Dobigeon and J.-Y. Tourneret},\n  title        = {Bayesian estimation of a subspace},\n  booktitle    = {Rec. 45th IEEE Asilomar Conf. Signals, Systems and Computers (Asilomar)},\n  year         = {2011},\n  month        = {Nov.},\n  address      = {Pacific Grove, CA},\n  pages        = {629--633},\n  type\t\t   = {International conferences},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Accuracy and performance of linear unmixing techniques for detecting minerals on Omega/Mars Express.\n \n \n \n\n\n \n Schmidt, F.; Bourguignon, S.; Mouëlic, S. L.; Dobigeon, N.; Theys, C.; and Tréguier, E.\n\n\n \n\n\n\n In Proc. European Planetary Science Congress (EPSC), volume 6, Nantes, France, Oct. 2011. \n \n\n\n\n
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@Inproceedings{Schmidt_EPSC_2011,\n  author       = {F. Schmidt and S. Bourguignon and S. Le Mou\\"elic and N. Dobigeon and C. Theys and E. Tr\\'eguier},\n  title        = {Accuracy and performance of linear unmixing techniques for detecting minerals on {O}mega/{M}ars {E}xpress},\n  booktitle    = {Proc. European Planetary Science Congress (EPSC)},\n  volume       = {6},\n  year         = {2011},\n  month        = {Oct.},\n  address      = {Nantes, France},\n  paper        = {969-1},\n  type\t\t   = {International conferences},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Investigation of a small set of hyperspectral images through non-negative source separation.\n \n \n \n\n\n \n Tréguier, E.; Schmidt, F.; Erard, S.; Schmidt, A.; Cardesín, A.; Martin, P.; Pinet, P.; Moussaoui, S.; and Dobigeon, N.\n\n\n \n\n\n\n In Proc. European Planetary Science Congress (EPSC), volume 6, Nantes, France, Oct. 2011. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Inproceedings{Treguier_EPSC_2011,\n  author       = {E. Tr\\'eguier and F. Schmidt and S. Erard and A. Schmidt\n                  and A. Cardes\\'in and P. Martin and P. Pinet and S. Moussaoui and N. Dobigeon},\n  title        = {Investigation of a small set of hyperspectral images through non-negative source separation},\n  booktitle    = {Proc. European Planetary Science Congress (EPSC)},\n  volume       = {6},\n  year         = {2011},\n  month        = {Oct.},\n  address      = {Nantes, France},\n  paper        = {1852-1},\n  type\t\t   = {International conferences},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Segmentation of high frequency ultrasound images using a spatially coherent generalized Rayleigh mixture model.\n \n \n \n\n\n \n Pereyra, M.; Dobigeon, N.; Batatia, H.; and Tourneret, J.\n\n\n \n\n\n\n In Proc. European Signal Processing Conf. (EUSIPCO), pages 664–668, Barcelona, Spain, Sept. 2011. \n invited paper\n\n\n\n
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@Inproceedings{Pereyra_EUSIPCO_2011,\n  author       = {M. Pereyra and N. Dobigeon and H. Batatia and J.-Y. Tourneret},\n  title        = {Segmentation of high frequency ultrasound images using a spatially coherent generalized {R}ayleigh mixture model},\n  booktitle    = {Proc. European Signal Processing Conf. (EUSIPCO)},\n  year         = {2011},\n  month        = {Sept.},\n  address      = {Barcelona, Spain},\n  pages        = {664--668},\n  webpage      = {http://dobigeon.perso.enseeiht.fr/applications/app_US.html},\n  note         = {invited paper},\n  type\t\t   = {International conferences},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Unmixing hyperspectral images using the generalized bilinear model.\n \n \n \n\n\n \n Halimi, A.; Altmann, Y.; Dobigeon, N.; and Tourneret, J.\n\n\n \n\n\n\n In Proc. IEEE Int. Geosci. Remote Sens. Symp. (IGARSS), pages 1886–1889, Vancouver, Canada, July 2011. \n \n\n\n\n
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@Inproceedings{Halimi_IEEE_IGARSS_2011,\n  author       = {A. Halimi and Y. Altmann and N. Dobigeon and J.-Y. Tourneret},\n  title        = {Unmixing hyperspectral images using the generalized bilinear model},\n  booktitle    = {Proc. IEEE Int. Geosci. Remote Sens. Symp. (IGARSS)},\n  year         = {2011},\n  month        = {July},\n  address      = {Vancouver, Canada},\n  pages        = {1886--1889},\n  type\t\t   = {International conferences},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n A polynomial post nonlinear model for hyperspectral image unmixing.\n \n \n \n\n\n \n Altmann, Y.; Halimi, A.; Dobigeon, N.; and Tourneret, J.\n\n\n \n\n\n\n In Proc. IEEE Int. Geosci. Remote Sens. Symp. (IGARSS), pages 1882–1885, Vancouver, Canada, July 2011. \n \n\n\n\n
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@Inproceedings{Altmann_IEEE_IGARSS_2011b,\n  author       = {Y. Altmann and A. Halimi and N. Dobigeon and J.-Y. Tourneret},\n  title        = {A polynomial post nonlinear model for hyperspectral image unmixing},\n  booktitle    = {Proc. IEEE Int. Geosci. Remote Sens. Symp. (IGARSS)},\n  year         = {2011},\n  month        = {July},\n  address      = {Vancouver, Canada},\n  pages        = {1882--1885},\n  webpage      = {http://dobigeon.perso.enseeiht.fr/applications/app_hyper_PPNM.html},\n  type\t\t   = {International conferences},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Nonlinear unmixing of hyperspectral images using radial basis functions and orthogonal least squares.\n \n \n \n\n\n \n Altmann, Y.; Dobigeon, N.; McLaughlin, S.; and Tourneret, J.\n\n\n \n\n\n\n In Proc. IEEE Int. Geosci. Remote Sens. Symp. (IGARSS), pages 1151–1154, Vancouver, Canada, July 2011. \n invited paper\n\n\n\n
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@Inproceedings{Altmann_IEEE_IGARSS_2011a,\n  author       = {Y. Altmann and N. Dobigeon and S. McLaughlin and J.-Y. Tourneret},\n  title        = {Nonlinear unmixing of hyperspectral images using radial basis functions and orthogonal least squares},\n  booktitle    = {Proc. IEEE Int. Geosci. Remote Sens. Symp. (IGARSS)},\n  year         = {2011},\n  month        = {July},\n  address      = {Vancouver, Canada},\n  pages        = {1151--1154},\n  note         = {invited paper},\n  type\t\t   = {International conferences},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Bayesian segmentation of chest tumors in PET Scans using a Poisson-Gamma mixture model.\n \n \n \n\n\n \n Irace, Z.; Pereyra, M.; Dobigeon, N.; and Batatia, H.\n\n\n \n\n\n\n In Proc. IEEE Workshop on Statistical Signal Processing (SSP), pages 809–812, Nice, France, June 2011. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Inproceedings{Irace_IEEE_SSP_2011,\n  author       = {Z. Irace and M. Pereyra and N. Dobigeon and H. Batatia},\n  title        = {Bayesian segmentation of chest tumors in {PET} Scans using a {P}oisson-{G}amma mixture model},\n  booktitle    = {Proc. IEEE Workshop on Statistical Signal Processing (SSP)},\n  year         = {2011},\n  month        = {June},\n  address      = {Nice, France},\n  pages        = {809--812},\n  type\t\t   = {International conferences},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Nonlinear unmixing of hyperspectral images using a generalized bilinear model.\n \n \n \n\n\n \n Halimi, A.; Altmann, Y.; Dobigeon, N.; and Tourneret, J.\n\n\n \n\n\n\n In Proc. IEEE Workshop on Statistical Signal Processing (SSP), pages 413–416, Nice, France, June 2011. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Inproceedings{Halimi_IEEE_SSP_2011,\n  author       = {A. Halimi and Y. Altmann and N. Dobigeon and J.-Y. Tourneret},\n  title        = {Nonlinear unmixing of hyperspectral images using a generalized bilinear model},\n  booktitle    = {Proc. IEEE Workshop on Statistical Signal Processing (SSP)},\n  year         = {2011},\n  month        = {June},\n  address      = {Nice, France},\n  pages        = {413--416},\n  webpage      = {http://dobigeon.perso.enseeiht.fr/applications/app_hyper_GBM.html},\n  type\t\t   = {International conferences},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Accuracy and performance of linear unmixing techniques for detecting minerals on Omega/Mars Express.\n \n \n \n\n\n \n Schmidt, F.; Bourguignon, S.; Mouëlic, S. L.; Dobigeon, N.; Theys, C.; and Tréguier, E.\n\n\n \n\n\n\n In Proc. IEEE GRSS Workshop on Hyperspectral Image and SIgnal Processing: Evolution in Remote Sensing (WHISPERS), pages 1–4, Lisbon, Portugal, June 2011. \n invited paper\n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Inproceedings{Schmidt_IEEE_WHISPERS_2011,\n  author       = {F. Schmidt and S. Bourguignon and S. Le Mou\\"elic and N. Dobigeon and C. Theys and E. Tr\\'eguier},\n  title        = {Accuracy and performance of linear unmixing techniques for detecting minerals on {O}mega/{M}ars {E}xpress},\n  booktitle    = {Proc. IEEE GRSS Workshop on Hyperspectral Image and SIgnal Processing: Evolution in Remote Sensing (WHISPERS)},\n  year         = {2011},\n  month        = {June},\n  address      = {Lisbon, Portugal},\n  pages        = {1--4},\n  note         = {invited paper},\n  type\t\t   = {International conferences},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Joint spectral classification and unmixing using adaptative pixel neighborhoods.\n \n \n \n\n\n \n Eches, O.; Benediktsson, J. A.; Dobigeon, N.; and Tourneret, J.\n\n\n \n\n\n\n In Proc. IEEE GRSS Workshop on Hyperspectral Image and SIgnal Processing: Evolution in Remote Sensing (WHISPERS), pages 1–4, Lisbon, Portugal, June 2011. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Inproceedings{Eches_IEEE_WHISPERS_2011,\n  author       = {O. Eches and J. A. Benediktsson and N. Dobigeon and J.-Y. Tourneret},\n  title        = {Joint spectral classification and unmixing using adaptative pixel neighborhoods},\n  booktitle    = {Proc. IEEE GRSS Workshop on Hyperspectral Image and SIgnal Processing: Evolution in Remote Sensing (WHISPERS)},\n  year         = {2011},\n  month        = {June},\n  address      = {Lisbon, Portugal},\n  pages        = {1--4},\n  type\t\t   = {International conferences},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Bilinear models for nonlinear unmixing of hyperspectral images.\n \n \n \n\n\n \n Altmann, Y.; Dobigeon, N.; and Tourneret, J.\n\n\n \n\n\n\n In Proc. IEEE GRSS Workshop on Hyperspectral Image and SIgnal Processing: Evolution in Remote Sensing (WHISPERS), pages 1–4, Lisbon, Portugal, June 2011. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Inproceedings{Altmann_IEEE_WHISPERS_2011,\n  author       = {Y. Altmann and N. Dobigeon and J.-Y. Tourneret},\n  title        = {Bilinear models for nonlinear unmixing of hyperspectral images},\n  booktitle    = {Proc. IEEE GRSS Workshop on Hyperspectral Image and SIgnal Processing: Evolution in Remote Sensing (WHISPERS)},\n  year         = {2011},\n  month        = {June},\n  address      = {Lisbon, Portugal},\n  pages        = {1--4},\n  webpage      = {http://dobigeon.perso.enseeiht.fr/applications/app_hyper_GBM.html},\n  type\t\t   = {International conferences},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Labeling skin tissues in ultrasound images using a generalized Rayleigh mixture model.\n \n \n \n\n\n \n Pereyra, M.; Dobigeon, N.; Batatia, H.; and Tourneret, J.\n\n\n \n\n\n\n In Proc. IEEE Int. Conf. Acoust., Speech, and Signal Processing (ICASSP), pages 729–732, Prague, Czech Republic, May 2011. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Inproceedings{Pereyra_IEEE_ICASSP_2011,\n  author       = {M. Pereyra and N. Dobigeon and H. Batatia and J.-Y. Tourneret},\n  title        = {Labeling skin tissues in ultrasound images using a generalized {R}ayleigh mixture model},\n  booktitle    = {Proc. IEEE Int. Conf. Acoust., Speech, and Signal Processing (ICASSP)},\n  year         = {2011},\n  month        = {May},\n  address      = {Prague, Czech Republic},\n  pages        = {729--732},\n  webpage      = {http://dobigeon.perso.enseeiht.fr/applications/app_US.html},\n  type\t\t   = {International conferences},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Variational methods for spectral unmixing of hyperspectral unmixing.\n \n \n \n\n\n \n Eches, O.; Dobigeon, N.; Tourneret, J.; and Snoussi, H.\n\n\n \n\n\n\n In Proc. IEEE Int. Conf. Acoust., Speech, and Signal Processing (ICASSP), pages 957–960, Prague, Czech Republic, May 2011. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Inproceedings{Eches_IEEE_ICASSP_2011,\n  author       = {O. Eches and N. Dobigeon and J.-Y. Tourneret and H. Snoussi},\n  title        = {Variational methods for spectral unmixing of hyperspectral unmixing},\n  booktitle    = {Proc. IEEE Int. Conf. Acoust., Speech, and Signal Processing (ICASSP)},\n  year         = {2011},\n  month        = {May},\n  address      = {Prague, Czech Republic},\n  pages        = {957--960},\n  type\t\t   = {International conferences},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Bernoulli-Gaussian model for gene expression analysis.\n \n \n \n\n\n \n Bazot, C.; Dobigeon, N.; and Tourneret, J.\n\n\n \n\n\n\n In Proc. IEEE Int. Conf. Acoust., Speech, and Signal Processing (ICASSP), pages 5996–5999, Prague, Czech Republic, May 2011. \n invited paper\n\n\n\n
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@Inproceedings{Bazot_IEEE_ICASSP_2011,\n  author       = {C. Bazot and N. Dobigeon and J.-Y. Tourneret},\n  title        = {Bernoulli-{G}aussian model for gene expression analysis},\n  booktitle    = {Proc. IEEE Int. Conf. Acoust., Speech, and Signal Processing (ICASSP)},\n  year         = {2011},\n  month        = {May},\n  address      = {Prague, Czech Republic},\n  pages        = {5996--5999},\n  note         = {invited paper},\n  type\t\t   = {International conferences},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Supervised nonlinear spectral unmixing using a polynomial post nonlinear model for hyperspectral imagery.\n \n \n \n\n\n \n Altmann, Y.; Halimi, A.; Dobigeon, N.; and Tourneret, J.\n\n\n \n\n\n\n In Proc. IEEE Int. Conf. Acoust., Speech, and Signal Processing (ICASSP), pages 1009–1012, Prague, Czech Republic, May 2011. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Inproceedings{Altmann_IEEE_ICASSP_2011,\n  author       = {Y. Altmann and A. Halimi and N. Dobigeon and J.-Y. Tourneret},\n  title        = {Supervised nonlinear spectral unmixing using a polynomial post nonlinear model for hyperspectral imagery},\n  booktitle    = {Proc. IEEE Int. Conf. Acoust., Speech, and Signal Processing (ICASSP)},\n  year         = {2011},\n  month        = {May},\n  address      = {Prague, Czech Republic},\n  pages        = {1009--1012},\n  webpage      = {http://dobigeon.perso.enseeiht.fr/applications/app_hyper_PPNM.html},\n  type\t\t   = {International conferences},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Non-negative Matrix Factorisation in Context.\n \n \n \n\n\n \n Schmidt, A.; Tréguier, E.; Schmidt, F.; Moussaoui, S.; and Dobigeon, N.\n\n\n \n\n\n\n In Proc. European Geosciences Union General Assembly (EGU), volume 11, Vienna, Austria, April 2011. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Inproceedings{Schmidt_EGU_2011,\n  author       = {A. Schmidt and E. Tr\\'eguier and F. Schmidt and S. Moussaoui and N. Dobigeon},\n  title        = {Non-negative Matrix Factorisation in Context},\n  booktitle    = {Proc. European Geosciences Union General Assembly (EGU)},\n  volume       = {11},\n  year         = {2011},\n  month        = {April},\n  address      = {Vienna, Austria},\n  paper        = {9072-1},\n  type\t\t   = {International conferences},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Analysis of a collection of planetary hyperspectral images through non-negative source separation.\n \n \n \n\n\n \n Tréguier, E.; Schmidt, A.; Schmidt, F.; Cardesín, A.; Erard, S.; Martin, P.; Pinet, P.; Moussaoui, S.; and Dobigeon, N.\n\n\n \n\n\n\n In Proc. European Geosciences Union General Assembly (EGU), volume 13, Vienna, Austria, April 2011. \n \n\n\n\n
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@Inproceedings{Treguier_EGU_2011,\n  author       = {E. Tr\\'eguier and A. Schmidt and F. Schmidt and A. Cardes\\'in\n                  and S. Erard and P. Martin and P. Pinet and S. Moussaoui and N. Dobigeon},\n  title        = {Analysis of a collection of planetary hyperspectral images through non-negative source separation},\n  booktitle    = {Proc. European Geosciences Union General Assembly (EGU)},\n  volume       = {13},\n  year         = {2011},\n  month        = {April},\n  address      = {Vienna, Austria},\n  paper        = {13174},\n  type\t\t   = {International conferences},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Myopic reconstruction and its application to MRFM data.\n \n \n \n\n\n \n Park, S.; Dobigeon, N.; and Hero, A. O.\n\n\n \n\n\n\n In Bouman, C. A.; Pollak, I.; and Wolfe, P. J., editor(s), Proc. SPIE-IS&T Electronic Imaging, Computational Imaging IX, volume 7873, pages 787303-1–787303-14, San Francisco, CA, Jan. 2011. SPIE\n \n\n\n\n
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@Inproceedings{Park_SPIE_EI_2011,\n  author       = {S.-U. Park and N. Dobigeon and A. O. Hero},\n  title        = {Myopic reconstruction and its application to {MRFM} data},\n  booktitle    = {Proc. SPIE-IS\\&T Electronic Imaging, Computational Imaging IX},\n  editor       = {Charles A. Bouman and Ilya Pollak and P. J. Wolfe},\n  publisher    = {SPIE},\n  year         = {2011},\n  month        = {Jan.},\n  volume       = {7873},\n  address      = {San Francisco, CA},\n  pages        = {787303-1--787303-14},\n  type\t\t   = {International conferences},  \n}\n\n\n\n
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\n  \n 2010\n \n \n (10)\n \n \n
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\n \n\n \n \n \n \n \n Investigating Martian and Venusian hyperspectral datasets through Positive Source Separation.\n \n \n \n\n\n \n Tréguier, E.; Schmidt, F.; Schmidt, A.; Moussaoui, S.; Dobigeon, N.; Erard, S.; Cardesín, A.; Pinet, P.; and Martin, P.\n\n\n \n\n\n\n In AGU Fall Meeting Abstracts, San Francisco, CA, Dec. 2010. \n abstract #P53B-1518\n\n\n\n
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@Inproceedings{Treguier_AGU_2010,\n  author       = {E. Tr\\'eguier and F. Schmidt and A. Schmidt and S. Moussaoui and N. Dobigeon\n                  and S. Erard and A. Cardes\\'in and P. Pinet and P. Martin},\n  title        = {Investigating {M}artian and {V}enusian hyperspectral datasets through Positive Source Separation},\n  booktitle    = {AGU Fall Meeting Abstracts},\n  year         = {2010},\n  month        = {Dec.},\n  address      = {San Francisco, CA},\n  note         = {abstract \\#P53B-1518},\n  type\t\t   = {International conferences},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Unsupervised Bayesian analysis of gene expression patterns.\n \n \n \n\n\n \n Bazot, C.; Dobigeon, N.; Tourneret, J.; and Hero, A. O.\n\n\n \n\n\n\n In Rec. 44th IEEE Asilomar Conf. Signals, Systems and Computers (Asilomar), pages 364–368, Pacific Grove, CA, Nov. 2010. \n invited paper\n\n\n\n
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@Inproceedings{Bazot_IEEE_Asilomar_2010,\n  author       = {C. Bazot and N. Dobigeon and J.-Y. Tourneret and A. O. Hero},\n  title        = {Unsupervised Bayesian analysis of gene expression patterns},\n  booktitle    = {Rec. 44th IEEE Asilomar Conf. Signals, Systems and Computers (Asilomar)},\n  year         = {2010},\n  month        = {Nov.},\n  address      = {Pacific Grove, CA},\n  pages        = {364--368},\n  note         = {invited paper},\n  type\t\t   = {International conferences},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Multi-Image Unsupervised Spectral Analysis.\n \n \n \n\n\n \n Schmidt, A.; Tréguier, E.; Schmidt, F.; Guiheneuf, M.; Moussaoui, S.; Dobigeon, N.; and Pelloquin, C.\n\n\n \n\n\n\n In Proc. European Planetary Science Congress (EPSC), volume 5, Roma, Italy, Sept. 2010. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Inproceedings{Schmidt_EPSC_2010,\n  author       = {A. Schmidt and E. Tr\\'eguier and F. Schmidt and M. Guiheneuf\n                  and S. Moussaoui and N. Dobigeon and C. Pelloquin},\n  title        = {Multi-Image Unsupervised Spectral Analysis},\n  booktitle    = {Proc. European Planetary Science Congress (EPSC)},\n  volume       = {5},\n  year         = {2010},\n  month        = {Sept.},\n  address      = {Roma, Italy},\n  paper        = {590},\n  type\t\t   = {International conferences},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Unmixing hyperspectral images using Markov random fields.\n \n \n \n\n\n \n Eches, O.; Dobigeon, N.; and Tourneret, J.\n\n\n \n\n\n\n In Mohammad-Djafari, A.; Bercher, J.; and Bessiére, P., editor(s), Proc. Int. Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering (MaxEnt), volume 1305, of AIP Conf. Proc., pages 303-310, Chamonix, France, July 2010. AIP\n invited paper\n\n\n\n
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@Inproceedings{Eches_Maxent_2010,\n  author       = {O. Eches and N. Dobigeon and J.-Y. Tourneret},\n  title        = {Unmixing hyperspectral images using {M}arkov random fields},\n  booktitle    = {Proc. Int. Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering (MaxEnt)},\n  editor       = {Ali Mohammad-Djafari and Jean-Fran\\c{c}ois Bercher and Pierre Bessi\\'{e}re},\n  publisher    = {AIP},\n  series       = {AIP Conf. Proc.},\n  volume       = {1305},\n  number       = {1},\n  year         = {2010},\n  month        = {July},\n  address      = {Chamonix, France},\n  pages        = {303-310},\n  note         = {invited paper},\n  type\t\t   = {International conferences},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Accuracy and performance of optimized Bayesian source separation for hyperspectral unmixing.\n \n \n \n\n\n \n Schmidt, F.; Schmidt, A.; Tréguier, E.; Guiheneuf, M.; Moussaoui, S.; and Dobigeon, N.\n\n\n \n\n\n\n In Proc. IEEE GRSS Workshop on Hyperspectral Image and SIgnal Processing: Evolution in Remote Sensing (WHISPERS), pages 1–4, Reykjavík, Iceland, Jun. 2010. \n \n\n\n\n
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@Inproceedings{Schmidt_IEEE_WHISPERS_2010,\n  author       = {F. Schmidt and A. Schmidt and E. Tr\\'eguier and M. Guiheneuf and S. Moussaoui and N. Dobigeon},\n  title        = {Accuracy and performance of optimized {B}ayesian source separation for hyperspectral unmixing},\n  booktitle    = {Proc. IEEE GRSS Workshop on Hyperspectral Image and SIgnal Processing: Evolution in Remote Sensing (WHISPERS)},\n  year         = {2010},\n  month        = {Jun.},\n  address      = {Reykjav\\'ik, Iceland},\n  pages        = {1--4},\n  type\t\t   = {International conferences},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Markov random fields for joint unmixing and segmentation of hyperspectral images.\n \n \n \n\n\n \n Eches, O.; Dobigeon, N.; and Tourneret, J.\n\n\n \n\n\n\n In Proc. IEEE GRSS Workshop on Hyperspectral Image and SIgnal Processing: Evolution in Remote Sensing (WHISPERS), pages 1–4, Reykjavík, Iceland, Jun. 2010. \n invited paper\n\n\n\n
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@Inproceedings{Eches_IEEE_WHISPERS_2010,\n  author       = {O. Eches and N. Dobigeon and J.-Y. Tourneret},\n  title        = {Markov random fields for joint unmixing and segmentation of hyperspectral images},\n  booktitle    = {Proc. IEEE GRSS Workshop on Hyperspectral Image and SIgnal Processing: Evolution in Remote Sensing (WHISPERS)},\n  year         = {2010},\n  month        = {Jun.},\n  address      = {Reykjav\\'ik, Iceland},\n  pages        = {1--4},\n  note         = {invited paper},\n  type\t\t   = {International conferences},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Matrix approximation techniques for unsupervised hyperspectral data analysis.\n \n \n \n\n\n \n Schmidt, A.; Schmidt, F.; Tréguier, E.; Moussaoui, S.; and Dobigeon, N.\n\n\n \n\n\n\n In Proc. European Geosciences Union General Assembly (EGU), volume 12, Vienna, Austria, May 2010. \n \n\n\n\n
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@Inproceedings{Schmidt_EGU_2010,\n  author       = {A. Schmidt and F. Schmidt and E. Tr\\'eguier and S. Moussaoui and N. Dobigeon},\n  title        = {Matrix approximation techniques for unsupervised hyperspectral data analysis},\n  booktitle    = {Proc. European Geosciences Union General Assembly (EGU)},\n  volume       = {12},\n  year         = {2010},\n  month        = {May},\n  address      = {Vienna, Austria},\n  paper        = {10027-2},\n  type\t\t   = {International conferences},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Multivariate approach for evaluating the composition of Meridiani spherules.\n \n \n \n\n\n \n Tréguier, E.; Schmidt, F.; Schmidt, A.; Guiheneuf, M.; Moussaoui, S.; Dobigeon, N.; and Martin, P.\n\n\n \n\n\n\n In Proc. European Geosciences Union General Assembly (EGU), volume 12, Vienna, Austria, May 2010. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Inproceedings{Treguier_EGU_2010,\n  author       = {E. Tr\\'eguier and F. Schmidt and A. Schmidt and M. Guiheneuf and S. Moussaoui and N. Dobigeon and P. Martin},\n  title        = {Multivariate approach for evaluating the composition of Meridiani spherules},\n  booktitle    = {Proc. European Geosciences Union General Assembly (EGU)},\n  volume       = {12},\n  year         = {2010},\n  month        = {May},\n  address      = {Vienna, Austria},\n  paper        = {12824-1},\n  type\t\t   = {International conferences},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n A partially collapsed Gibbs sampler for parameters with local constraints.\n \n \n \n\n\n \n Kail, G.; Tourneret, J.; Hlawatsch, F.; and Dobigeon, N.\n\n\n \n\n\n\n In Proc. IEEE Int. Conf. Acoust., Speech, and Signal Processing (ICASSP), pages 3886–3889, Dallas, USA, March 2010. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Inproceedings{Kail_IEEE_ICASSP_2010,\n  author       = {G. Kail and J.-Y. Tourneret and F. Hlawatsch and N. Dobigeon},\n  title        = {A partially collapsed {G}ibbs sampler for parameters with local constraints},\n  booktitle    = {Proc. IEEE Int. Conf. Acoust., Speech, and Signal Processing (ICASSP)},\n  year         = {2010},\n  month        = {March},\n  address      = {Dallas, USA},\n  pages        = {3886--3889},\n  type\t\t   = {International conferences},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n A reversible-jump MCMC algorithm for estimating the number of endmembers in the normal compositional model. Application to the unmixing of hyperspectral images.\n \n \n \n\n\n \n Eches, O.; Dobigeon, N.; and Tourneret, J.\n\n\n \n\n\n\n In Proc. IEEE Int. Conf. Acoust., Speech, and Signal Processing (ICASSP), pages 1222–1225, Dallas, USA, March 2010. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Inproceedings{Eches_IEEE_ICASSP_2010,\n  author       = {O. Eches and N. Dobigeon and J.-Y. Tourneret},\n  title        = {A reversible-jump {MCMC} algorithm for estimating the number of\n                  endmembers in the normal compositional model. Application to the unmixing of hyperspectral images},\n  booktitle    = {Proc. IEEE Int. Conf. Acoust., Speech, and Signal Processing (ICASSP)},\n  year         = {2010},\n  month        = {March},\n  address      = {Dallas, USA},\n  pages        = {1222--1225},\n  type\t\t   = {International conferences},  \n}\n\n\n\n
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\n  \n 2009\n \n \n (10)\n \n \n
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\n \n\n \n \n \n \n \n Subspace-based Bayesian blind source separation for hyperspectral imagery.\n \n \n \n\n\n \n Dobigeon, N.; Moussaoui, S.; Coulon, M.; Tourneret, J.; and Hero, A. O.\n\n\n \n\n\n\n In Proc. IEEE Int. Workshop Comput. Adv. in Multi-Sensor Adaptive Process. (CAMSAP), volume 4, pages 372–375, Aruba, Dutch Antilles, Dec. 2009. \n invited paper\n\n\n\n
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@Inproceedings{Dobigeon_IEEE_CAMSAP_2009,\n  author       = {N. Dobigeon and S. Moussaoui and M. Coulon and J.-Y. Tourneret and A. O. Hero},\n  title        = {Subspace-based {B}ayesian blind source separation for hyperspectral imagery},\n  booktitle    = {Proc. IEEE Int. Workshop Comput. Adv. in Multi-Sensor Adaptive Process. (CAMSAP)},\n  volume       = {4},\n  year         = {2009},\n  month        = {Dec.},\n  address      = {Aruba, Dutch Antilles},\n  pages        = {372--375},\n  note         = {invited paper},\n  type\t\t   = {International conferences},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Material identification on hyperspectral images using Bayesian source separation.\n \n \n \n\n\n \n Schmidt, F.; Moussaoui, S.; and Dobigeon, N.\n\n\n \n\n\n\n In Proc. European Planetary Science Congress (EPSC), volume 4, Potsdam, Germany, Sept. 2009. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Inproceedings{Schmidt_EPSC_2009,\n  author       = {F. Schmidt and S. Moussaoui and N. Dobigeon},\n  title        = {Material identification on hyperspectral images using {B}ayesian source separation},\n  booktitle    = {Proc. European Planetary Science Congress (EPSC)},\n  volume       = {4},\n  year         = {2009},\n  month        = {Sept.},\n  address      = {Potsdam, Germany},\n  paper        = {289},\n  type\t\t   = {International conferences},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Multivariate approach for evaluating the composition of Meridiani spherules.\n \n \n \n\n\n \n Tréguier, E.; Schmidt, F.; Pinet, P.; Martin, P.; d'Uston , C.; Moussaoui, S.; and Dobigeon, N.\n\n\n \n\n\n\n In Proc. European Planetary Science Congress (EPSC), volume 4, Potsdam, Germany, Sept. 2009. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Inproceedings{Treguier_EPSC_2009,\n  author       = {E. Tr\\'eguier and F. Schmidt and P. Pinet and P. Martin and C. d'Uston and S. Moussaoui and N. Dobigeon},\n  title        = {Multivariate approach for evaluating the composition of Meridiani spherules},\n  booktitle    = {Proc. European Planetary Science Congress (EPSC)},\n  volume       = {4},\n  year         = {2009},\n  month        = {Sept.},\n  address      = {Potsdam, Germany},\n  paper        = {91},\n  type\t\t   = {International conferences},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Linear unmixing of hyperspectral images using a scaled gradient method.\n \n \n \n\n\n \n Theys, C.; Dobigeon, N.; Tourneret, J.; and Lantéri, H.\n\n\n \n\n\n\n In Proc. IEEE Workshop on Statistical Signal Processing (SSP), pages 729–732, Cardiff, UK, Aug. 2009. \n \n\n\n\n
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@Inproceedings{Theys_IEEE_SSP_2009,\n  author       = {C. Theys and N. Dobigeon and J.-Y. Tourneret and H. Lant\\'eri},\n  title        = {Linear unmixing of hyperspectral images using a scaled gradient method},\n  booktitle    = {Proc. IEEE Workshop on Statistical Signal Processing (SSP)},\n  year         = {2009},\n  month        = {Aug.},\n  address      = {Cardiff, UK},\n  pages        = {729--732},\n  webpage      = {http://dobigeon.perso.enseeiht.fr/applications/app_hyper_SGM.html},\n  type\t\t   = {International conferences},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Unmixing hyperspectral images using a normal compositional model and MCMC methods.\n \n \n \n\n\n \n Eches, O.; Dobigeon, N.; Mailhes, C.; and Tourneret, J.\n\n\n \n\n\n\n In Proc. IEEE Workshop on Statistical Signal Processing (SSP), pages 646–649, Cardiff, UK, Aug. 2009. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Inproceedings{Eches_IEEE_SSP_2009,\n  author       = {O. Eches and N. Dobigeon and C. Mailhes and J.-Y. Tourneret},\n  title        = {Unmixing hyperspectral images using a normal compositional model and {MCMC} methods},\n  booktitle    = {Proc. IEEE Workshop on Statistical Signal Processing (SSP)},\n  year         = {2009},\n  month        = {Aug.},\n  address      = {Cardiff, UK},\n  pages        = {646--649},\n  type\t\t   = {International conferences},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Material identification on Martian hyperspectral images using Bayesian source separation.\n \n \n \n\n\n \n Schmidt, F.; Moussaoui, S.; and Dobigeon, N.\n\n\n \n\n\n\n In Proc. IEEE GRSS Workshop on Hyperspectral Image and SIgnal Processing: Evolution in Remote Sensing (WHISPERS), pages 1–4, Grenoble, France, Aug. 2009. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Inproceedings{Schmidt_IEEE_WHISPERS_2009,\n  author       = {F. Schmidt and S. Moussaoui and N. Dobigeon},\n  title        = {Material identification on {M}artian hyperspectral images using {B}ayesian source separation},\n  booktitle    = {Proc. IEEE GRSS Workshop on Hyperspectral Image and SIgnal Processing: Evolution in Remote Sensing (WHISPERS)},\n  year         = {2009},\n  month        = {Aug.},\n  address      = {Grenoble, France},\n  pages        = {1--4},\n  type\t\t   = {International conferences},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n NCM-based Bayesian algorithm for hyperspectral unmixing.\n \n \n \n\n\n \n Eches, O.; Dobigeon, N.; and Tourneret, J.\n\n\n \n\n\n\n In Proc. IEEE GRSS Workshop on Hyperspectral Image and SIgnal Processing: Evolution in Remote Sensing (WHISPERS), pages 1–4, Grenoble, France, Aug. 2009. \n \n\n\n\n
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@Inproceedings{Eches_IEEE_WHISPERS_2009,\n  author       = {O. Eches and N. Dobigeon and J.-Y. Tourneret},\n  title        = {{NCM}-based {B}ayesian algorithm for hyperspectral unmixing},\n  booktitle    = {Proc. IEEE GRSS Workshop on Hyperspectral Image and SIgnal Processing: Evolution in Remote Sensing (WHISPERS)},\n  year         = {2009},\n  month        = {Aug.},\n  address      = {Grenoble, France},\n  pages        = {1--4},\n  type\t\t   = {International conferences},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Bayesian sparse image reconstruction for MRFM.\n \n \n \n\n\n \n Dobigeon, N.; Hero, A. O.; and Tourneret, J.\n\n\n \n\n\n\n In Proc. IEEE Int. Conf. Acoust., Speech, and Signal Processing (ICASSP), pages 2933–2936, Taipei, ROC, April 2009. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Inproceedings{Dobigeon_IEEE_ICASSP_2009,\n  author       = {N. Dobigeon and A. O. Hero and J.-Y. Tourneret},\n  title        = {{B}ayesian sparse image reconstruction for {MRFM}},\n  booktitle    = {Proc. IEEE Int. Conf. Acoust., Speech, and Signal Processing (ICASSP)},\n  year         = {2009},\n  month        = {April},\n  address      = {Taipei, ROC},\n  pages        = {2933--2936},\n  type\t\t   = {International conferences},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Library-based linear unmixing for hyperspectral imagery via reversible jump MCMC sampling.\n \n \n \n\n\n \n Dobigeon, N.; and Tourneret, J.\n\n\n \n\n\n\n In Proc. IEEE/AIAA Aerospace Conference (AeroConf), volume 1–6, Big Sky, USA, March 2009. \n invited paper\n\n\n\n
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@Inproceedings{Dobigeon_IEEE_AeroConf_2009,\n  author       = {N. Dobigeon and J.-Y. Tourneret},\n  title        = {Library-based linear unmixing for hyperspectral imagery\n                  via reversible jump {MCMC} sampling},\n  booktitle    = {Proc. IEEE/AIAA Aerospace Conference (AeroConf)},\n  volume       = {1--6},\n  year         = {2009},\n  month        = {March},\n  address      = {Big Sky, USA},\n  note         = {invited paper},\n  type\t\t   = {International conferences},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n MCMC sampling for joint segmentation of wind speed and direction.\n \n \n \n\n\n \n Dobigeon, N.; and Tourneret, J.\n\n\n \n\n\n\n In Proc. IEEE Digital Signal Processing Workshop (DSP), pages 250–255, Marco Island, USA, Jan. 2009. \n invited paper\n\n\n\n
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@Inproceedings{Dobigeon_IEEE_DSP_2009,\n  author       = {N. Dobigeon and J.-Y. Tourneret},\n  title        = {{MCMC} sampling for joint segmentation of wind speed and direction},\n  booktitle    = {Proc. IEEE Digital Signal Processing Workshop (DSP)},\n  year         = {2009},\n  month        = {Jan.},\n  address      = {Marco Island, USA},\n  pages        = {250--255},\n  note         = {invited paper},\n  type\t\t   = {International conferences},  \n}\n\n\n\n
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\n  \n 2008\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n Bayesian linear unmixing of hyperspectral images corrupted by colored Gaussian noise with unknown covariance matrix.\n \n \n \n\n\n \n Dobigeon, N.; Tourneret, J.; and Hero, A. O.\n\n\n \n\n\n\n In Proc. IEEE Int. Conf. Acoust., Speech, and Signal Processing (ICASSP), pages 3433–3436, Las Vegas, USA, March 2008. \n \n\n\n\n
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@Inproceedings{Dobigeon_IEEE_ICASSP_2008,\n  author       = {N. Dobigeon and J.-Y. Tourneret and A. O. Hero},\n  title        = {{B}ayesian linear unmixing of hyperspectral images corrupted\n                  by colored {G}aussian noise with unknown covariance matrix},\n  booktitle    = {Proc. IEEE Int. Conf. Acoust., Speech, and Signal Processing (ICASSP)},\n  year         = {2008},\n  month        = {March},\n  address      = {Las Vegas, USA},\n  pages        = {3433--3436},\n  type\t\t   = {International conferences},  \n}\n\n\n\n
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\n  \n 2007\n \n \n (2)\n \n \n
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\n \n\n \n \n \n \n \n Blind unmixing of linear mixtures using a hierarchical Bayesian model. Application to spectroscopic signal analysis.\n \n \n \n\n\n \n Dobigeon, N.; Tourneret, J.; and Moussaoui, S.\n\n\n \n\n\n\n In Proc. IEEE Workshop on Statistical Signal Processing (SSP), pages 79–83, Madison, USA, Aug. 2007. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Inproceedings{Dobigeon_IEEE_SSP_2007,\n  author       = {N. Dobigeon and J.-Y. Tourneret and S. Moussaoui},\n  title        = {Blind unmixing of linear mixtures using a hierarchical {B}ayesian model.\n                  Application to spectroscopic signal analysis},\n  booktitle    = {Proc. IEEE Workshop on Statistical Signal Processing (SSP)},\n  year         = {2007},\n  month        = {Aug.},\n  address      = {Madison, USA},\n  pages        = {79--83},\n  type\t\t   = {International conferences},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Spectral unmixing of hyperspectral images using a hierarchical Bayesian model.\n \n \n \n\n\n \n Dobigeon, N.; and Tourneret, J.\n\n\n \n\n\n\n In Proc. IEEE Int. Conf. Acoust., Speech, and Signal Processing (ICASSP), volume 3, pages 1209–1212, Honolulu, Hawaii, USA, April 2007. \n Student paper contest finalist\n\n\n\n
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@Inproceedings{Dobigeon_IEEE_ICASSP_2007,\n  author       = {N. Dobigeon and J.-Y. Tourneret},\n  title        = {Spectral unmixing of hyperspectral images using a hierarchical {B}ayesian model},\n  booktitle    = {Proc. IEEE Int. Conf. Acoust., Speech, and Signal Processing (ICASSP)},\n  volume       = 3,\n  year         = {2007},\n  month        = {April},\n  address      = {Honolulu, Hawaii, USA},\n  pages        = {1209--1212},\n  note\t\t   = {Student paper contest finalist},\n  type\t\t   = {International conferences},  \n}\n\n\n\n
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\n  \n 2006\n \n \n (2)\n \n \n
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\n \n\n \n \n \n \n \n Joint segmentation of multivariate Poissonian time series Applications to Burst and Transient Source Experiments.\n \n \n \n\n\n \n Dobigeon, N.; Tourneret, J.; and Scargle, J. D.\n\n\n \n\n\n\n In Proc. European Signal Processing Conf. (EUSIPCO), Florence, Italy, Sept. 2006. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Inproceedings{Dobigeon_EUSIPCO_2006,\n  author       = {N. Dobigeon and J.-Y. Tourneret and J. D. Scargle},\n  title        = {Joint segmentation of multivariate Poissonian time series\n                  Applications to Burst and Transient Source Experiments},\n  booktitle    = {Proc. European Signal Processing Conf. (EUSIPCO)},\n  year         = {2006},\n  month        = {Sept.},\n  address      = {Florence, Italy},\n  type\t\t   = {International conferences},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Joint segmentation of piecewise constant autoregressive processes by using a hierarchical model and a Bayesian sampling approach.\n \n \n \n\n\n \n Dobigeon, N.; Tourneret, J.; and Davy, M.\n\n\n \n\n\n\n In Proc. IEEE Int. Conf. Acoust., Speech, and Signal Processing (ICASSP), volume 3, pages 1–4, Toulouse, France, May 2006. \n \n\n\n\n
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@Inproceedings{Dobigeon_IEEE_ICASSP_2006,\n  author       = {N. Dobigeon and J.-Y. Tourneret and M. Davy},\n  title        = {Joint segmentation of piecewise constant autoregressive processes\n                  by using a hierarchical model and a {B}ayesian sampling approach},\n  booktitle    = {Proc. IEEE Int. Conf. Acoust., Speech, and Signal Processing (ICASSP)},\n  volume       = 3,\n  year         = {2006},\n  month        = {May},\n  address      = {Toulouse, France},\n  pages        = {1--4},\n  type\t\t   = {International conferences},  \n}\n\n\n\n
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\n  \n 2005\n \n \n (2)\n \n \n
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\n \n\n \n \n \n \n \n Change-point detection in astronomical data by using a hierarchical model and a baysesian sampling approach.\n \n \n \n\n\n \n Dobigeon, N.; Tourneret, J.; and Scargle, J. D.\n\n\n \n\n\n\n In Proc. IEEE Workshop on Statistical Signal Processing (SSP), pages 369–374, Bordeaux, France, July 2005. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Inproceedings{Dobigeon_IEEE_SSP_2005,\n  author       = {N. Dobigeon and J.-Y. Tourneret and J. D. Scargle},\n  title        = {Change-point detection in astronomical data\n                  by using a hierarchical model and a baysesian sampling approach},\n  booktitle    = {Proc. IEEE Workshop on Statistical Signal Processing (SSP)},\n  year         = {2005},\n  month        = {July},\n  address      = {Bordeaux, France},\n  pages        = {369--374},\n  type\t\t   = {International conferences},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Performance comparison of geometric and statistical methods for endmembers extraction in hyperspectral imagery.\n \n \n \n\n\n \n Dobigeon, N.; and Achard, V.\n\n\n \n\n\n\n In Bruzzone, L., editor(s), Proc. SPIE Image and Signal Processing for Remote Sensing XI, volume 5982, pages 598213-1–598213-10, Brugge, Belgium, Oct. 2005. SPIE\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Inproceedings{Dobigeon_SPIE_ERS_2005,\n  author       = {N. Dobigeon and V. Achard},\n  title        = {Performance comparison of geometric and statistical methods\n                  for endmembers extraction in hyperspectral imagery},\n  booktitle    = {Proc. SPIE Image and Signal Processing for Remote Sensing XI},\n  editor       = {Lorenzo Bruzzone},\n  publisher    = {SPIE},\n  volume       = {5982},\n  number       = {1},\n  year         = {2005},\n  month        = {Oct.},\n  address      = {Brugge, Belgium},\n  pages        = {598213-1--598213-10},\n  type\t\t   = {International conferences},  \n\n}\n\n\n\n%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n%%    Nat. Conference papers      %%\n%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n\n
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\n  \n International journals\n \n \n (19)\n \n \n
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\n  \n 2024\n \n \n (4)\n \n \n
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\n \n\n \n \n \n \n \n \n RFI-DRUnet: Restoring dynamic spectra corrupted by radio frequency interference – Application to pulsar observations.\n \n \n \n \n\n\n \n Zhang, X.; Cognard, I.; and Dobigeon, N.\n\n\n \n\n\n\n Astronomy and Computing, 47. April 2024.\n \n\n\n\n
\n\n\n\n \n \n \"RFI-DRUnet:Paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Article{Zhang_ASCOM_2024,\n  author       = {X. Zhang and I. Cognard and N. Dobigeon},\n  title        = {{RFI-DRUnet}: Restoring dynamic spectra corrupted by radio frequency interference -- {A}pplication to pulsar observations}, \n  journal      = {Astronomy and Computing},   \n  year         = {2024},\n  month        = {April},\n  volume       = {47},\n  pages        = {},  \n  url          = {https://www.sciencedirect.com/science/article/pii/S2213133724000374},\n  type\t\t   = {International journals},   \n}\n\n\n
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\n \n\n \n \n \n \n \n \n AE-RED: A Hyperspectral Unmixing Framework Powered by Deep Autoencoder and Regularization by Denoising.\n \n \n \n \n\n\n \n Zhao, M.; Chen, J.; and Dobigeon, N.\n\n\n \n\n\n\n IEEE Trans. Geoscience and Remote Sensing, 62. March 2024.\n \n\n\n\n
\n\n\n\n \n \n \"AE-RED:Paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Article{Zhao_IEEE_Trans_GRS_2024,\n  author       = {M. Zhao and J. Chen and N. Dobigeon},\n  title        = {{AE-RED}: A Hyperspectral Unmixing Framework Powered by Deep Autoencoder and Regularization by Denoising},\n  journal      = {IEEE Trans. Geoscience and Remote Sensing},    \n  year         = {2024},\n  month        = {March},\n  volume       = {62},\n  pages        = {},  \n  url          = {https://arxiv.org/abs/2307.00269/},\n  type\t\t   = {International journals},   \n}\n\n\n
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\n \n\n \n \n \n \n \n \n CD-GAN: a robust fusion-based generative adversarial network for unsupervised remote sensing change detection with heterogeneous sensors.\n \n \n \n \n\n\n \n Wang, J.; Dobigeon, N.; Chabert, M.; Wang, D.; Huang, T.; and Huang, J.\n\n\n \n\n\n\n Information Fusion, 107. July 2024.\n \n\n\n\n
\n\n\n\n \n \n \"CD-GAN:Paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Article{Wang_INFFUS_2023,\n  author       = {J.-J. Wang and N. Dobigeon and M. Chabert and D.-C. Wang and  T.-Z. Huang and J. Huang},\n  title        = {{CD-GAN}: a robust fusion-based generative adversarial network for unsupervised remote sensing change detection with heterogeneous sensors},\n  journal      = {Information Fusion},    \n  year         = {2024},\n  month        = {July},\n  volume       = {107},\n  pages        = {},  \n  url          = {https://www.sciencedirect.com/science/article/pii/S1566253524000915},\n  type\t\t   = {International journals},    \n}\n\n\n
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\n \n\n \n \n \n \n \n Superpixels meet essential spectra for fast Raman hyperspectral microimaging.\n \n \n \n\n\n \n Gilet, V.; Mabilleau, G.; Loumaigne, M.; Coic, L.; Vitale, R.; Oberlin, T.; de M. Goulart, J. H.; Dobigeon, N.; Ruckebusch, C.; and Rousseau, D.\n\n\n \n\n\n\n Optics Express, 32(1): 932–948. Jan. 2024.\n \n\n\n\n
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@Article{Gilet_Optics_Express_2024,\n  author       = {V. Gilet and G. Mabilleau and M. Loumaigne and L. Coic and R. Vitale and Th. Oberlin and J. H. de M. Goulart and N. Dobigeon and C. Ruckebusch and D. Rousseau},\n  title        = {Superpixels meet essential spectra for fast {R}aman hyperspectral microimaging}, \n  journal      = {Optics Express},    \n  year         = {2024},\n  month        = {Jan.},\n  volume       = {32},\n  number\t   = {1},\n  pages        = {932--948},    \n  type\t\t   = {International journals},    \n}\n\n\n
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\n  \n 2023\n \n \n (6)\n \n \n
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\n \n\n \n \n \n \n \n Spatial-spectral multiscale sparse unmixing of hyperspectral images.\n \n \n \n\n\n \n Ince, T.; and Dobigeon, N.\n\n\n \n\n\n\n IEEE Geoscience and Remote Sensing Letters, 20: 5511605. Oct. 2023.\n \n\n\n\n
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@Article{Ince_IEEE_GRS_Letters_2023b,\n  author       = {T. Ince and N. Dobigeon},\n  title        = {Spatial-spectral multiscale sparse unmixing of hyperspectral images},\n  journal      = {IEEE Geoscience and Remote Sensing Letters},  \n  year         = {2023},\n  month        = {Oct.},\n  volume       = {20},\n  pages        = {5511605},   \n  type\t\t   = {International journals},    \n}\n\n\n
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\n \n\n \n \n \n \n \n \n Guided deep generative model-based spatial regularization for multiband imaging inverse problems.\n \n \n \n \n\n\n \n Zhao, M.; Chen, J.; and Dobigeon, N.\n\n\n \n\n\n\n IEEE Trans. Image Processing, 32: 5692–5704. Oct. 2023.\n \n\n\n\n
\n\n\n\n \n \n \"GuidedPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Article{Zhao_IEEE_Trans_IP_2023,\n  author       = {M. Zhao and J. Chen and N. Dobigeon},\n  title        = {Guided deep generative model-based spatial regularization for multiband imaging inverse problems},\n  journal      = {IEEE Trans. Image Processing},  \n  year         = {2023},\n  month        = {Oct.},\n  volume       = {32},\n  pages        = {5692--5704},  \n  url          = {https://arxiv.org/abs/2306.17197/},\n  type\t\t   = {International journals},     \n}\n\n\n
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\n \n\n \n \n \n \n \n Assessment of essential information in the Fourier domain to accelerate Raman hyperspectral microimaging.\n \n \n \n\n\n \n Coic, L.; Vitale, R.; Moreau, M.; Rousseau, D.; de M. Goulart, J. H.; Dobigeon, N.; and Ruckebusch, C.\n\n\n \n\n\n\n Analytical Chemistry, 95(42): 15419–15832. Oct. 2023.\n \n\n\n\n
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@Article{Coic_AnalChem_2023,\n  author       = {L. Coic and R. Vitale and M. Moreau and D. Rousseau and J. H. de M. Goulart and N. Dobigeon and C. Ruckebusch},\n  title        = {Assessment of essential information in the {F}ourier domain to accelerate {R}aman hyperspectral microimaging},\n  journal      = {Analytical Chemistry},  \n  year         = {2023},\n  month        = {Oct.},\n  volume       = {95},\n  number\t   = {42},\n  pages        = {15419--15832},   \n  type\t\t   = {International journals},    \n}\n\n\n
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\n \n\n \n \n \n \n \n A fast spatial-spectral NMF for hyperspectral unmixing.\n \n \n \n\n\n \n Ince, T.; and Dobigeon, N.\n\n\n \n\n\n\n IEEE Geoscience and Remote Sensing Letters, 20: 5505305. June 2023.\n \n\n\n\n
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@Article{Ince_IEEE_GRS_Letters_2023,\n  author       = {T. Ince and N. Dobigeon},\n  title        = {A fast spatial-spectral {NMF} for hyperspectral unmixing},\n  journal      = {IEEE Geoscience and Remote Sensing Letters},  \n  year         = {2023},\n  month        = {June},\n  volume       = {20},\n  pages        = {5505305},   \n  type\t\t   = {International journals},    \n}\n\n\n
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\n \n\n \n \n \n \n \n \n Probabilistic simplex component analysis by importance sampling.\n \n \n \n \n\n\n \n Granot, N.; Diskin, T.; Dobigeon, N.; and Wiesel, A.\n\n\n \n\n\n\n IEEE Signal Processing Letters, 30: 683–687. June 2023.\n \n\n\n\n
\n\n\n\n \n \n \"ProbabilisticPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Article{Granot_IEEE_SP_Letters_2023,\n  author       = {N. Granot and T. Diskin and N. Dobigeon and A. Wiesel},\n  title        = {Probabilistic simplex component analysis by importance sampling},\n  journal      = {IEEE Signal Processing Letters},  \n  year         = {2023},\n  month        = {June},\n  volume       = {30},\n  pages        = {683--687},  \n  url          = {https://arxiv.org/abs/2302.11230/},  \n  type\t\t   = {International journals},    \n}\n\n\n
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\n \n\n \n \n \n \n \n Compartment model-based nonlinear unmixing for kinetic analysis of dynamic PET images.\n \n \n \n\n\n \n Cavalcanti, Y. C.; Oberlin, T.; Ferraris, V.; Dobigeon, N.; Ribeiro, M.; and Tauber, C.\n\n\n \n\n\n\n Medical Image Analysis, 84: 102689. Feb. 2023.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Article{Cavalcanti_MEDIA_2023,\n  author       = {Y. Cruz Cavalcanti and Th. Oberlin and V. Ferraris and N. Dobigeon and M. Ribeiro and C. Tauber},\n  title        = {Compartment model-based nonlinear unmixing for kinetic analysis of dynamic {PET} images},\n  journal      = {Medical Image Analysis},\n  year         = {2023},\n  month        = {Feb.},\n  volume       = {84},\n  pages        = {102689},\n  type\t\t   = {International journals},  \n}\n\n\n
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\n  \n 2022\n \n \n (4)\n \n \n
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\n \n\n \n \n \n \n \n Fast hyperspectral unmixing using a multiscale sparse regularization.\n \n \n \n\n\n \n Ince, T.; and Dobigeon, N.\n\n\n \n\n\n\n IEEE Geoscience and Remote Sensing Letters, 19(6015305). Oct. 2022.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Article{Ince_IEEE_GRS_Letters_2022b,\n  author       = {T. Ince and N. Dobigeon},\n  title        = {Fast hyperspectral unmixing using a multiscale sparse regularization},\n  journal      = {IEEE Geoscience and Remote Sensing Letters},\n  month        = {Oct.},\n  year         = {2022},\n  volume       = {19},\n  number       = {6015305},\n  type\t\t   = {International journals}, \n}\n\n\n
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\n \n\n \n \n \n \n \n Weighted residual NMF with spatial regularization for hyperspectral unmixing.\n \n \n \n\n\n \n Ince, T.; and Dobigeon, N.\n\n\n \n\n\n\n IEEE Geoscience and Remote Sensing Letters, 19(6010705). June 2022.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Article{Ince_IEEE_GRS_Letters_2022,\n  author       = {T. Ince and N. Dobigeon},\n  title        = {Weighted residual {NMF} with spatial regularization for hyperspectral unmixing},\n  journal      = {IEEE Geoscience and Remote Sensing Letters},\n  month        = {June},\n  year         = {2022},\n  volume       = {19},\n  number       = {6010705},\n  type\t\t   = {International journals}, \n}\n\n\n
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\n \n\n \n \n \n \n \n A 3D-CNN framework for hyperspectral unmixing with spectral variability.\n \n \n \n\n\n \n Zhao, M.; Shi, S.; Chen, J.; and Dobigeon, N.\n\n\n \n\n\n\n IEEE Trans. Geoscience and Remote Sensing, 60: 1–14. Jan. 2022.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Article{Zhao_IEEE_Trans_GRS_2022,\n  author       = {M. Zhao and S. Shi and J. Chen and N. Dobigeon},\n  title        = {A {3D-CNN} framework for hyperspectral unmixing with spectral variability},\n  journal      = {IEEE Trans. Geoscience and Remote Sensing},\n  month        = {Jan.},\n  year         = {2022},\n  volume       = {60},\n  number       = {},\n  pages        = {1--14},\n  type\t\t   = {International journals}, \n}\n\n\n
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\n \n\n \n \n \n \n \n High-dimensional Gaussian sampling: a review and a unifying approach based on a stochastic proximal point algorithm.\n \n \n \n\n\n \n Vono, M.; Dobigeon, N.; and Chainais, P.\n\n\n \n\n\n\n SIAM Review, 64(1): 3–56. 2022.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Article{Vono_SIREV_2022,\n  author       = {M. Vono and N. Dobigeon and P. Chainais},\n  title        = {High-dimensional {G}aussian sampling: a review and a unifying approach based on a stochastic proximal point algorithm},\n  journal      = {SIAM Review},  \n  year         = {2022},\n  volume       = {64},\n  number       = {1},  \n  pages        = {3--56},\n  webpage      = {https://github.com/mvono/PyGauss},\n  type\t\t   = {International journals}, \n}\n\n\n
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\n  \n 2021\n \n \n (2)\n \n \n
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\n \n\n \n \n \n \n \n Provably robust blind source separation of linear-quadratic near-separable mixtures.\n \n \n \n\n\n \n Kervazo, C.; Gillis, N.; and Dobigeon, N.\n\n\n \n\n\n\n SIAM J. Imaging Sciences, 14(4): 1848–1889. 2021.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Article{Kervazo_SIIMS_2021,\n  author       = {C. Kervazo and N. Gillis and N. Dobigeon},\n  title        = {Provably robust blind source separation of linear-quadratic near-separable mixtures},\n  journal      = {SIAM J. Imaging Sciences},  \n  year         = {2021},\n  volume       = {14},\n  number       = {4},  \n  pages        = {1848--1889},\n  webpage      = {https://www.dropbox.com/s/u3yd8s6bl76zqev/SNPALQ_v1.zip},\n  type\t\t   = {International journals}, \n}\n\n\n
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\n \n\n \n \n \n \n \n Asymptotically exact data augmentation: models, properties and algorithms.\n \n \n \n\n\n \n Vono, M.; Dobigeon, N.; and Chainais, P.\n\n\n \n\n\n\n Journal of Computational and Graphical Statistics, 30(2): 335–348. 2021.\n \n\n\n\n
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@Article{Vono_JCGS_2021,\n  author       = {M. Vono and N. Dobigeon and P. Chainais},\n  title        = {Asymptotically exact data augmentation: models, properties and algorithms},\n  journal      = {Journal of Computational and Graphical Statistics},  \n  year         = {2021},\n  volume       = {30},\n  number       = {2},  \n  pages        = {335--348},\n  type\t\t   = {International journals}, \n}\n\n\n
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\n  \n 2020\n \n \n (7)\n \n \n
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\n \n\n \n \n \n \n \n Hyperspectral and multispectral image fusion under spectrally varying spatial blurs – Application to high dimensional infrared astronomical imaging.\n \n \n \n\n\n \n Guilloteau, C.; Oberlin, T.; Berné, O.; and Dobigeon, N.\n\n\n \n\n\n\n IEEE Trans. Computational Imaging, 6: 1362–1374. Sept. 2020.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Article{Guilloteau_IEEE_Trans_CI_2020,\n  author       = {C. Guilloteau and Th. Oberlin and O. Bern\\'{e} and N. Dobigeon},\n  title        = {Hyperspectral and multispectral image fusion under spectrally varying spatial blurs -- Application to high dimensional infrared astronomical imaging},\n  journal      = {IEEE Trans. Computational Imaging},\n  year         = {2020},\n  month        = {Sept.},\n  volume       = {6},\n  number       = {},\n  pages        = {1362--1374},\n  type\t\t   = {International journals}, \n}\n\n\n
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\n \n\n \n \n \n \n \n Robust fusion algorithms for unsupervised change detection between multi-band optical images – A comprehensive case study.\n \n \n \n\n\n \n Ferraris, V.; Dobigeon, N.; and Chabert, M.\n\n\n \n\n\n\n Information Fusion, 64: 293–317. Dec. 2020.\n \n\n\n\n
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@Article{Ferraris_INFFUS_2020,\n  author       = {V. Ferraris and N. Dobigeon and M. Chabert},\n  title        = {Robust fusion algorithms for unsupervised change detection between multi-band optical images -- {A} comprehensive case study},\n  journal      = {Information Fusion},  \n  year         = {2020},\n  volume       = {64},\n  number       = {},  \n  month        = {Dec.},\n  pages        = {293--317},\n  type\t\t   = {International journals},    \n\n}\n\n\n
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\n \n\n \n \n \n \n \n Hierarchical sparse nonnegative matrix factorization for hyperspectral unmixing with spectral variability.\n \n \n \n\n\n \n Uezato, T.; Fauvel, M.; and Dobigeon, N.\n\n\n \n\n\n\n Remote Sensing, 12(14). July 2020.\n \n\n\n\n
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@Article{Uezato_MDPI_RS_2020,\n  author       = {T. Uezato and M. Fauvel and N. Dobigeon},\n  title        = {Hierarchical sparse nonnegative matrix factorization for hyperspectral unmixing with spectral variability},\n  journal      = {Remote Sensing},\n  year         = {2020},\n  volume       = {12},\n  number       = {14},  \n  month        = {July},\n  article-number = {2326},\n  pages        = {},\n  type\t\t   = {International journals},    \n}\n\n\n
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\n \n\n \n \n \n \n \n Simulated JWST datasets for multispectral and hyperspectral image fusion.\n \n \n \n\n\n \n Guilloteau, C.; Oberlin, T.; Berné, O.; Habart, É.; and Dobigeon, N.\n\n\n \n\n\n\n The Astronomical Journal, 160(1): 28. Jun. 2020.\n \n\n\n\n
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@Article{Guilloteau_AJ_2020,\n  author       = {C. Guilloteau and Th. Oberlin and O. Bern\\'{e} and \\'{E}. Habart and N. Dobigeon},\n  title        = {Simulated {JWST} datasets for multispectral and hyperspectral image fusion},\n  journal      = {The Astronomical Journal},\n  year         = {2020},\n  volume       = {160},\n  number       = {1},  \n  month        = {Jun.},\n  pages        = {28},\n  type\t\t   = {International journals},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Fast reconstruction of atomic-scale STEM-EELS images from sparse sampling.\n \n \n \n\n\n \n Monier, E.; Oberlin, T.; Brun, N.; Li, X.; Tencé, M.; and Dobigeon, N.\n\n\n \n\n\n\n Ultramicroscopy, 215(112993). Aug. 2020.\n \n\n\n\n
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@Article{Monier_Ultramicroscopy_2020,\n  author       = {E. Monier and Th. Oberlin and N. Brun and X. Li and M. Tenc\\'e and N. Dobigeon},\n  title        = {Fast reconstruction of atomic-scale {STEM-EELS} images from sparse sampling},\n  journal      = {Ultramicroscopy},\n  year         = {2020},\n  volume       = {215},\n  number       = {112993},  \n  month        = {Aug.},\n  type\t\t   = {International journals},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Matrix cofactorization for joint spatial-spectral unmixing of hyperspectral images.\n \n \n \n\n\n \n Lagrange, A.; Fauvel, M.; May, S.; and Dobigeon, N.\n\n\n \n\n\n\n IEEE Trans. Geoscience and Remote Sensing, 58(7): 4915–4927. July 2020.\n \n\n\n\n
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@Article{Lagrange_IEEE_Trans_GRS_2020,\n  author       = {A. Lagrange and M. Fauvel and S. May and N. Dobigeon},\n  title        = {Matrix cofactorization for joint spatial-spectral unmixing of hyperspectral images},\n  journal      = {IEEE Trans. Geoscience and Remote Sensing},\n  month        = {July},\n  year         = {2020},\n  volume       = {58},\n  number       = {7},\n  pages        = {4915--4927},\n  webpage      = {http://dobigeon.perso.enseeiht.fr/applications/app_hyper_SP2U.html},\n  type\t\t   = {International journals},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Matrix cofactorization for joint representation learning and supervised classification – Application to hyperspectral image analysis.\n \n \n \n\n\n \n Lagrange, A.; Fauvel, M.; May, S.; Bioucas-Dias, J.; and Dobigeon, N.\n\n\n \n\n\n\n Neurocomputing, 385: 132–147. Apr. 2020.\n \n\n\n\n
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@Article{Lagrange_Neurocomputing_2020,\n  author       = {A. Lagrange and M. Fauvel and S. May and J. Bioucas-Dias and N. Dobigeon},\n  title        = {Matrix cofactorization for joint representation learning and supervised classification -- {A}pplication to hyperspectral image analysis},\n  journal      = {Neurocomputing},\n  month        = {Apr.},\n  year         = {2020},\n  volume       = {385},\n  pages        = {132--147},\n  webpage      = {http://dobigeon.perso.enseeiht.fr/applications/app_cofact.html},\n  type\t\t   = {International journals},  \n}\n\n\n\n
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\n  \n 2019\n \n \n (8)\n \n \n
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\n \n\n \n \n \n \n \n Coupled dictionary learning for unsupervised change detection between multimodal remote sensing images.\n \n \n \n\n\n \n Ferraris, V.; Dobigeon, N.; Cavalcanti, Y. C.; Oberlin, T.; and Chabert, M.\n\n\n \n\n\n\n Computer Vision and Image Understanding, 189(102817). Dec. 2019.\n \n\n\n\n
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@Article{Ferraris_CVIU_2019,\n  author       = {V. Ferraris and N. Dobigeon and Y. Cruz Cavalcanti and Th. Oberlin and M. Chabert},\n  title        = {Coupled dictionary learning for unsupervised change detection between multimodal remote sensing images},\n  journal      = {Computer Vision and Image Understanding},\n  year         = {2019},\n  volume       = {189},\n  number       = {102817},\n  month        = {Dec.},\n  type\t\t   = {International journals},  \n}\n\n\n
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\n \n\n \n \n \n \n \n A Bayesian nonparametric model for unsupervised joint segmentation of a collection of images.\n \n \n \n\n\n \n Sodjo, J.; Giremus, A.; Dobigeon, N.; and Caron, F.\n\n\n \n\n\n\n IEEE Access, 7(1): 120176–120188. Dec. 2019.\n \n\n\n\n
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@Article{Sodjo_IEEE_Access_2019,\n  author       = {J. Sodjo and A. Giremus and N. Dobigeon and F. Caron},\n  title        = {A {B}ayesian nonparametric model for unsupervised joint segmentation of a collection of images},\n  journal      = {IEEE Access},\n  year         = {2019},\n  month        = {Dec.},  \n  volume       = {7},\n  number       = {1},\n  pages        = {120176--120188},\n  type\t\t   = {International journals},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Non-linear unmixing of hyperspectral images using multiple-kernel self-organizing maps.\n \n \n \n\n\n \n Rashwan, S.; Dobigeon, N.; Sheta, W.; and Hassan, H.\n\n\n \n\n\n\n IET Image Processing, 13(12): 2190–2195. Oct. 2019.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Article{Rashwan_IET_IP_2019,\n  author       = {S. Rashwan and N. Dobigeon and W. Sheta and H. Hassan},\n  title        = {Non-linear unmixing of hyperspectral images using multiple-kernel self-organizing maps},\n  journal      = {IET Image Processing},\n  year         = {2019},\n  month        = {Oct.},  \n  volume       = {13},\n  number       = {12},\n  pages        = {2190--2195},\n  type\t\t   = {International journals},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Factor analysis of dynamic PET images: beyond Gaussian noise.\n \n \n \n\n\n \n Cavalcanti, Y. C.; Oberlin, T.; Dobigeon, N.; Févotte, C.; Stute, S.; Ribeiro, M.; and Tauber, C.\n\n\n \n\n\n\n IEEE Trans. Med. Imaging, 38(9): 2231–2241. Sept. 2019.\n \n\n\n\n
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@Article{Cavalcanti_IEEE_Trans_MI_2019,\n  author       = {Y. Cruz Cavalcanti and Th. Oberlin and N. Dobigeon and C. F\\'evotte and S. Stute and M. Ribeiro and C. Tauber},\n  title        = {Factor analysis of dynamic {PET} images: beyond {G}aussian noise},\n  journal      = {IEEE Trans. Med. Imaging},\n  year         = {2019},\n  month        = {Sept.},  \n  volume       = {38},\n  number       = {9},\n  pages        = {2231--2241},\n  type\t\t   = {International journals},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Hyperspectral unmixing with spectral variability using adaptive bundles and double sparsity.\n \n \n \n\n\n \n Uezato, T.; Fauvel, M.; and Dobigeon, N.\n\n\n \n\n\n\n IEEE Trans. Geoscience and Remote Sensing, 57(6): 3980–3992. June 2019.\n \n\n\n\n
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@Article{Uezato_IEEE_Trans_GRS_2019,\n  author       = {T. Uezato and M. Fauvel and N. Dobigeon},\n  title        = {Hyperspectral unmixing with spectral variability using adaptive bundles and double sparsity},\n  journal      = {IEEE Trans. Geoscience and Remote Sensing},\n  year         = {2019},\n  month        = {June},  \n  volume       = {57},\n  number       = {6},\n  pages        = {3980--3992},\n  type\t\t   = {International journals},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Partially asynchronous distributed unmixing of hyperspectral images.\n \n \n \n\n\n \n Thouvenin, P.; Dobigeon, N.; and Tourneret, J.\n\n\n \n\n\n\n IEEE Trans. Geoscience and Remote Sensing, 57(4): 2009-2021. April 2019.\n \n\n\n\n
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@Article{Thouvenin_IEEE_Trans_GRS_2019,\n  author       = {P.-A. Thouvenin and N. Dobigeon and J.-Y. Tourneret},\n  title        = {Partially asynchronous distributed unmixing of hyperspectral images},\n  journal      = {IEEE Trans. Geoscience and Remote Sensing},\n  year         = {2019},\n  month        = {April},  \n  volume       = {57},\n  number       = {4},\n  pages        = {2009-2021},\n  type\t\t   = {International journals},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Split-and-augmented Gibbs sampler – Application to large-scale inference problems.\n \n \n \n\n\n \n Vono, M.; Dobigeon, N.; and Chainais, P.\n\n\n \n\n\n\n IEEE Trans. Signal Processing, 67(6): 1648–1661. Jan. 2019.\n \n\n\n\n
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@Article{Vono_IEEE_Trans_SP_2019,\n  author       = {M. Vono and N. Dobigeon and P. Chainais},\n  title        = {Split-and-augmented {G}ibbs sampler -- {A}pplication to large-scale inference problems},\n  journal      = {IEEE Trans. Signal Processing},\n  year         = {2019},\n  month        = {Jan.},\n  volume       = {67},\n  number       = {6},\n  pages        = {1648--1661},\n  webpage      = {http://dobigeon.perso.enseeiht.fr/applications/app_SPA_Gibbs.html},\n  type\t\t   = {International journals},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Hierarchical Bayesian image analysis: from low-level modeling to robust supervised learning.\n \n \n \n\n\n \n Lagrange, A.; Fauvel, M.; May, S.; and Dobigeon, N.\n\n\n \n\n\n\n Pattern Recognition, 85: 26–36. Jan. 2019.\n \n\n\n\n
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@Article{Lagrange_ELSEVIER_PR_2019,\n  author       = {A. Lagrange and M. Fauvel and S. May and N. Dobigeon},\n  title        = {Hierarchical {B}ayesian image analysis: from low-level modeling to robust supervised learning},\n  journal      = {Pattern Recognition},\n  year         = {2019},\n  month        = {Jan.},\n  volume       = {85},\n  pages        = {26--36},\n  webpage      = {http://dobigeon.perso.enseeiht.fr/applications/app_HBA.html},  \n  type\t\t   = {International journals},  \n}\n\n\n\n
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\n  \n 2018\n \n \n (6)\n \n \n
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\n \n\n \n \n \n \n \n Reconstruction of partially sampled multi-band images – Application to EELS microscopy.\n \n \n \n\n\n \n Monier, E.; Oberlin, T.; Brun, N.; Tencé, M.; de Frutos, M.; and Dobigeon, N.\n\n\n \n\n\n\n IEEE Trans. Computational Imaging, 4(4): 585–598. Dec. 2018.\n \n\n\n\n
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@Article{Monier_IEEE_Trans_CI_2018,\n  author       = {E. Monier and Th. Oberlin and N. Brun and M. Tenc\\'e and M. de Frutos and N. Dobigeon},\n  title        = {Reconstruction of partially sampled multi-band images -- {A}pplication to {EELS} microscopy},\n  journal      = {IEEE Trans. Computational Imaging},\n  year         = {2018},\n  month        = {Dec.},\n  volume       = {4},\n  number       = {4},\n  pages        = {585--598},\n  type\t\t   = {International journals},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Unmixing dynamic PET images with variable specific binding kinetics.\n \n \n \n\n\n \n Cavalcanti, Y. C.; Oberlin, T.; Dobigeon, N.; Stute, S.; Ribeiro, M.; and Tauber, C.\n\n\n \n\n\n\n Medical Image Analysis, 49: 117–127. Oct. 2018.\n \n\n\n\n
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@Article{Cavalcanti_ELSEVIER_MEDIA_2018,\n  author       = {Y. Cruz Cavalcanti and Th. Oberlin and N. Dobigeon and S. Stute and M. Ribeiro and C. Tauber},\n  title        = {Unmixing dynamic {PET} images with variable specific binding kinetics},\n  journal      = {Medical Image Analysis},\n  year         = {2018},\n  month        = {Oct.},\n  volume       = {49},\n  pages        = {117--127},\n  type\t\t   = {International journals},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Hyperspectral image unmixing with LiDAR data-aided spatial regularization.\n \n \n \n\n\n \n Uezato, T.; Fauvel, M.; and Dobigeon, N.\n\n\n \n\n\n\n IEEE Trans. Geoscience and Remote Sensing, 56(2): 4098–4108. July 2018.\n \n\n\n\n
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@Article{Uezato_IEEE_Trans_GRS_2018,\n  author       = {T. Uezato and M. Fauvel and N. Dobigeon},\n  title        = {Hyperspectral image unmixing with {LiDAR} data-aided spatial regularization},\n  journal      = {IEEE Trans. Geoscience and Remote Sensing},\n  year         = {2018},\n  month        = {July},\n  volume       = {56},\n  number       = {2},\n  pages        = {4098--4108},\n  type\t\t   = {International journals},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Detecting changes between optical images of different spatial and spectral resolutions: a fusion-based approach.\n \n \n \n\n\n \n Ferraris, V.; Dobigeon, N.; Wei, Q.; and Chabert, M.\n\n\n \n\n\n\n IEEE Trans. Geoscience and Remote Sensing, 56(3): 1566–1578. March 2018.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Article{Ferraris_IEEE_Trans_GRS_2018,\n  author       = {V. Ferraris and N. Dobigeon and Q. Wei and M. Chabert},\n  title        = {Detecting changes between optical images of different spatial and spectral resolutions: a fusion-based approach},\n  journal      = {IEEE Trans. Geoscience and Remote Sensing},\n  year         = {2018},\n  month        = {March},\n  volume       = {56},\n  number       = {3},\n  pages        = {1566--1578},\n  webpage      = {http://dobigeon.perso.enseeiht.fr/applications/app_CD.html},\n  type\t\t   = {International journals},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Foreword to the Special Issue on Quality Improvements of Remote Sensing Data.\n \n \n \n\n\n \n Shen, H.; Jia, X.; Bioucas-Dias, J. M.; Dobigeon, N.; Cui, Y.; and Pacifici, F.\n\n\n \n\n\n\n IEEE J. Sel. Topics Appl. Earth Observations Remote Sensing, 11(3): 687–690. March 2018.\n \n\n\n\n
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@Article{Shen_IEEE_JSTARS_2018,\n  author       = {H. Shen and X. Jia and J. M. {Bioucas-Dias} and N. Dobigeon and Y. Cui and F. Pacifici},\n  title        = {Foreword to the Special Issue on Quality Improvements of Remote Sensing Data},\n  journal      = {IEEE J. Sel. Topics Appl. Earth Observations Remote Sensing},\n  year         = {2018},\n  month        = {March},\n  volume       = {11},\n  number       = {3},\n  pages        = {687--690},\n  type\t\t   = {International journals},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n A hierarchical Bayesian model accounting for endmember variability and abrupt spectral changes to unmix multitemporal hyperspectral images.\n \n \n \n\n\n \n Thouvenin, P.; Dobigeon, N.; and Tourneret, J.\n\n\n \n\n\n\n IEEE Trans. Computational Imaging, 4(1): 32–45. Jan. 2018.\n \n\n\n\n
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@Article{Thouvenin_IEEE_Trans_CI_2018,\n  author       = {P.-A. Thouvenin and N. Dobigeon and J.-Y. Tourneret},\n  title        = {A hierarchical {B}ayesian model accounting for endmember variability and abrupt spectral changes to unmix multitemporal hyperspectral images},\n  journal      = {IEEE Trans. Computational Imaging},\n  year         = {2018},\n  month        = {Jan.},\n  volume       = {4},\n  number       = {1},\n  pages        = {32--45},\n  type\t\t   = {International journals},  \n}\n\n\n\n
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\n  \n 2017\n \n \n (5)\n \n \n
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\n \n\n \n \n \n \n \n Bayesian selection for the $\\ell-2$-Potts model regularization parameter: 1D piecewise constant signal denoising.\n \n \n \n\n\n \n Frecon, J.; Pustelnik, N.; Dobigeon, N.; Wendt, H.; and Abry, P.\n\n\n \n\n\n\n IEEE Trans. Signal Processing, 65(19): 5215–5224. Oct. 2017.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Article{Frecon_IEEE_Trans_SP_2017,\n  author       = {J. Frecon and N. Pustelnik and N. Dobigeon and H. Wendt and P. Abry},\n  title        = {Bayesian selection for the $\\ell-2$-{P}otts model regularization parameter: 1{D} piecewise constant signal denoising},\n  journal      = {IEEE Trans. Signal Processing},\n  year         = {2017},\n  month        = {Oct.},\n  volume       = {65},\n  number       = {19},\n  pages        = {5215--5224},\n  webpage      = {http://dobigeon.perso.enseeiht.fr/applications/app_denoising.html},\n  type\t\t   = {International journals},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n A split-and-merge approach for hyperspectral band selection.\n \n \n \n\n\n \n Rashwan, S.; and Dobigeon, N.\n\n\n \n\n\n\n IEEE Geoscience and Remote Sensing Letters, 14(8): 1378–1382. Aug. 2017.\n \n\n\n\n
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@Article{Rashwan_IEEE_GRS_Letters_2017,\n  author       = {S. Rashwan and N. Dobigeon},\n  title        = {A split-and-merge approach for hyperspectral band selection},\n  journal      = {IEEE Geoscience and Remote Sensing Letters},\n  year         = {2017},\n  month        = {Aug.},\n  volume       = {14},\n  number       = {8},\n  pages        = {1378--1382},\n  webpage      = {http://dobigeon.perso.enseeiht.fr/applications/app_hyper_BS.html},\n  type\t\t   = {International journals},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Robust fusion of multi-band images with different spatial and spectral resolutions for change detection.\n \n \n \n\n\n \n Ferraris, V.; Dobigeon, N.; Wei, Q.; and Chabert, M.\n\n\n \n\n\n\n IEEE Trans. Computational Imaging, 3(2): 175–186. April 2017.\n \n\n\n\n
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@Article{Ferraris_IEEE_Trans_CI_2017,\n  author       = {V. Ferraris and N. Dobigeon and Q. Wei and M. Chabert},\n  title        = {Robust fusion of multi-band images with different spatial and spectral resolutions for change detection},\n  journal      = {IEEE Trans. Computational Imaging},\n  year         = {2017},\n  month        = {April},\n  volume       = {3},\n  number       = {2},\n  pages        = {175--186},\n  webpage      = {http://dobigeon.perso.enseeiht.fr/applications/app_CD.html},\n  type\t\t   = {International journals},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Fast hyperspectral unmixing in presence of nonlinearity or mismodelling effects.\n \n \n \n\n\n \n Halimi, A.; Bioucas-Dias, J. M.; Dobigeon, N.; Buller, G. S.; and McLaughlin, S.\n\n\n \n\n\n\n IEEE Trans. Computational Imaging, 3(2): 146–159. April 2017.\n \n\n\n\n
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@Article{Halimi_IEEE_Trans_CI_2017,\n  author       = {A. Halimi and J. M. {Bioucas-Dias} and N. Dobigeon and G. S. Buller and S. McLaughlin},\n  title        = {Fast hyperspectral unmixing in presence of nonlinearity or mismodelling effects},\n  journal      = {IEEE Trans. Computational Imaging},\n  year         = {2017},\n  month        = {April},\n  volume       = {3},\n  number       = {2},\n  pages        = {146--159},\n  type\t\t   = {International journals},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Bayesian anti-sparse coding.\n \n \n \n\n\n \n Elvira, C.; Chainais, P.; and Dobigeon, N.\n\n\n \n\n\n\n IEEE Trans. Signal Processing, 65(7): 1660–1672. April 2017.\n \n\n\n\n
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@Article{Elvira_IEEE_Trans_SP_2017,\n  author       = {C. Elvira and P. Chainais and N. Dobigeon},\n  title        = {Bayesian anti-sparse coding},\n  journal      = {IEEE Trans. Signal Processing},\n  year         = {2017},\n  month        = {April},\n  volume       = {65},\n  number       = {7},\n  pages        = {1660--1672},\n  webpage      = {http://dobigeon.perso.enseeiht.fr/applications/app_antisparse.html},\n  type\t\t   = {International journals},  \n}\n\n\n\n
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\n  \n 2016\n \n \n (7)\n \n \n
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\n \n\n \n \n \n \n \n Combining local regularity estimation and total variation optimization for scale-free texture segmentation.\n \n \n \n\n\n \n Pustelnik, N.; Wendt, H.; Abry, P.; and Dobigeon, N.\n\n\n \n\n\n\n IEEE Trans. Computational Imaging, 4(2): 468–479. Dec. 2016.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Article{Pustelnik_IEEE_Trans_CI_2016,\n  author       = {N. Pustelnik and H. Wendt and P. Abry and N. Dobigeon},\n  title        = {Combining local regularity estimation and total variation optimization for scale-free texture segmentation},\n  journal      = {IEEE Trans. Computational Imaging},\n  year         = {2016},\n  month        = {Dec.},\n  volume       = {4},\n  number       = {2},\n  pages        = {468--479},\n  webpage      = {http://dobigeon.perso.enseeiht.fr/applications/app_texture.html},\n  type\t\t   = {International journals},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Multi-Band Image Fusion Based on Spectral Unmixing.\n \n \n \n\n\n \n Wei, Q.; Bioucas-Dias, J. M.; Dobigeon, N.; Tourneret, J.; Chen, M.; and Godsill, S.\n\n\n \n\n\n\n IEEE Trans. Geoscience and Remote Sensing, 54(12): 7236–7249. Dec. 2016.\n \n\n\n\n
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@Article{Wei_IEEE_Trans_GRS_2016,\n  author       = {Q. Wei and J. M. {Bioucas-Dias} and N. Dobigeon and J.-Y. Tourneret and M. Chen and S. Godsill},\n  title        = {Multi-Band Image Fusion Based on Spectral Unmixing},\n  journal      = {IEEE Trans. Geoscience and Remote Sensing},\n  year         = {2016},\n  month        = {Dec.},\n  volume       = {54},\n  number       = {12},\n  pages        = {7236--7249},\n  webpage      = {http://dobigeon.perso.enseeiht.fr/applications/app_fusion.html},\n  type\t\t   = {International journals},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n R-FUSE: Robust Fast Fusion of Multi-Band Images Based on Solving a Sylvester Equation.\n \n \n \n\n\n \n Wei, Q.; Dobigeon, N.; Tourneret, J.; Bioucas-Dias, J. M.; and Godsill, S.\n\n\n \n\n\n\n IEEE Signal Processing Letters, 23(11): 1632–1636. Nov. 2016.\n \n\n\n\n
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@Article{Wei_IEEE_SP_Letters_2016,\n  author       = {Q. Wei and N. Dobigeon and J.-Y. Tourneret and J. M. {Bioucas-Dias} and S. Godsill},\n  title        = {{R-FUSE}: Robust Fast Fusion of Multi-Band Images Based on Solving a {S}ylvester Equation},\n  journal      = {IEEE Signal Processing Letters},\n  year         = {2016},\n  month        = {Nov.},\n  volume       = {23},\n  number       = {11},\n  pages        = {1632--1636},\n  webpage      = {http://dobigeon.perso.enseeiht.fr/applications/app_fusion.html},\n  type\t\t   = {International journals},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Online unmixing of multitemporal hyperspectral images accounting for spectral variability.\n \n \n \n\n\n \n Thouvenin, P.; Dobigeon, N.; and Tourneret, J.\n\n\n \n\n\n\n IEEE Trans. Image Processing, 25(9): 3979–3990. Sept. 2016.\n \n\n\n\n
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@Article{Thouvenin_IEEE_Trans_IP_2016,\n  author       = {P.-A. Thouvenin and N. Dobigeon and J.-Y. Tourneret},\n  title        = {Online unmixing of multitemporal hyperspectral images accounting for spectral variability},\n  journal      = {IEEE Trans. Image Processing},\n  year         = {2016},\n  month        = {Sept.},\n  volume       = {25},\n  number       = {9},\n  pages        = {3979--3990},\n  webpage      = {http://dobigeon.perso.enseeiht.fr/applications/app_hyper_PLMM_online.html},\n  type\t\t   = {International journals},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Fast single image super-resolution using a new analytical solution for $\\ell_2-\\ell_2$ problems.\n \n \n \n\n\n \n Zhao, N.; Wei, Q.; Basarab, A.; Dobigeon, N.; Kouamé, D.; and Tourneret, J.\n\n\n \n\n\n\n IEEE Trans. Image Processing, 25(8): 3683–3697. Aug. 2016.\n \n\n\n\n
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@Article{Zhao_IEEE_Trans_IP_2016,\n  author       = {N. Zhao and Q. Wei and A. Basarab and N. Dobigeon and D. Kouam\\'e and J.-Y. Tourneret},\n  title        = {Fast single image super-resolution using a new analytical solution for $\\ell_2-\\ell_2$ problems},\n  journal      = {IEEE Trans. Image Processing},\n  year         = {2016},\n  month        = {Aug.},\n  volume       = {25},\n  number       = {8},\n  pages        = {3683--3697},\n  webpage      = {http://dobigeon.perso.enseeiht.fr/applications/app_SR.html},\n  type\t\t   = {International journals},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Detection and Correction of Glitches in a Multiplexed Multi-channel Data Stream – Application to the MADRAS Instrument.\n \n \n \n\n\n \n Wendt, H.; Dobigeon, N.; Tourneret, J.; Albinet, M.; Goldstein, C.; and Karouche, N.\n\n\n \n\n\n\n IEEE Trans. Geoscience and Remote Sensing, 54(5): 2803–2811. May 2016.\n \n\n\n\n
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@Article{Wendt_IEEE_Trans_GRS_2016,\n  author       = {H. Wendt and N. Dobigeon and J.-Y. Tourneret and M. Albinet and C. Goldstein and N. Karouche},\n  title        = {Detection and Correction of Glitches in a Multiplexed Multi-channel Data Stream -- Application to the MADRAS Instrument},\n  journal      = {IEEE Trans. Geoscience and Remote Sensing},\n  year         = {2016},\n  month        = {May},\n  volume       = {54},\n  number       = {5},\n  pages        = {2803--2811},\n    webpage      = {http://dobigeon.perso.enseeiht.fr/applications/app_glitches.html},\n  type\t\t   = {International journals},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Hyperspectral unmixing with spectral variability using a perturbed linear mixing model.\n \n \n \n\n\n \n Thouvenin, P.; Dobigeon, N.; and Tourneret, J.\n\n\n \n\n\n\n IEEE Trans. Signal Processing, 64(2): 525–538. Feb. 2016.\n \n\n\n\n
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@Article{Thouvenin_IEEE_Trans_SP_2016,\n  author       = {P.-A. Thouvenin and N. Dobigeon and J.-Y. Tourneret},\n  title        = {Hyperspectral unmixing with spectral variability using a perturbed linear mixing model},\n  journal      = {IEEE Trans. Signal Processing},\n  year         = {2016},\n  month        = {Feb.},\n  volume       = {64},\n  number       = {2},\n  pages        = {525--538},\n  webpage      = {http://dobigeon.perso.enseeiht.fr/applications/app_hyper_PLMM.html},\n  type\t\t   = {International journals},  \n}\n\n\n\n
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\n  \n 2015\n \n \n (8)\n \n \n
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\n \n\n \n \n \n \n \n Unsupervised unmixing of hyperspectral images accounting for endmember variability.\n \n \n \n\n\n \n Halimi, A.; Dobigeon, N.; and Tourneret, J.\n\n\n \n\n\n\n IEEE Trans. Image Processing, 24(12): 4904-4917. Dec. 2015.\n \n\n\n\n
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@Article{Halimi_IEEE_Trans_IP_2015,\n  author       = {A. Halimi and N. Dobigeon and J.-Y. Tourneret},\n  title        = {Unsupervised unmixing of hyperspectral images accounting for endmember variability},\n  journal      = {IEEE Trans. Image Processing},\n  year         = {2015},\n  month        = {Dec.},\n  volume       = {24},\n  number       = {12},\n  pages        = {4904-4917},\n  webpage      = {http://dobigeon.perso.enseeiht.fr/applications/app_hyper_GNCM.html},\n  type\t\t   = {International journals},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Nonlinear hyperspectral unmixing with robust nonnegative matrix factorization.\n \n \n \n\n\n \n Févotte, C.; and Dobigeon, N.\n\n\n \n\n\n\n IEEE Trans. Image Processing, 24(12): 4810–4819. Dec. 2015.\n \n\n\n\n
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@Article{Fevotte_IEEE_Trans_IP_2015,\n  author       = {C. F\\'evotte and N. Dobigeon},\n  title        = {Nonlinear hyperspectral unmixing with robust nonnegative matrix factorization},\n  journal      = {IEEE Trans. Image Processing},\n  year         = {2015},\n  month        = {Dec.},\n  volume       = {24},\n  number       = {12},\n  pages        = {4810--4819},\n  webpage      = {http://dobigeon.perso.enseeiht.fr/applications/app_hyper_rLMM.html},\n  type\t\t   = {International journals},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Fast fusion of multi-band images based on solving a Sylvester equation.\n \n \n \n\n\n \n Wei, Q.; Dobigeon, N.; and Tourneret, J.\n\n\n \n\n\n\n IEEE Trans. Image Processing, 24(11): 4109–4121. Nov. 2015.\n \n\n\n\n
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@Article{Wei_IEEE_Trans_IP_2015,\n  author       = {Q. Wei and N. Dobigeon and J.-Y. Tourneret},\n  title        = {Fast fusion of multi-band images based on solving a {S}ylvester equation},\n  journal      = {IEEE Trans. Image Processing},\n  year         = {2015},\n  month        = {Nov.},\n  volume       = {24},\n  number       = {11},\n  pages        = {4109--4121},\n  webpage      = {http://dobigeon.perso.enseeiht.fr/applications/app_fusion.html},\n  type\t\t   = {International journals},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Hyperspectral pansharpening: a review.\n \n \n \n\n\n \n Loncan, L.; Almeida, L. B.; Bioucas-Dias, J. M.; Briottet, X.; Chanussot, J.; Dobigeon, N.; Fabre, S.; Liao, W.; Licciardi, G.; Simoes, M.; Tourneret, J.; Veganzones, M.; Vivone, G.; Wei, Q.; and Yokoya, N.\n\n\n \n\n\n\n IEEE Geoscience and Remote Sensing Magazine, 3(3): 27–46. Sept. 2015.\n \n\n\n\n
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@Article{Loncan_IEEE_GRS_Mag_2015,\n  author       = {L. Loncan and L. B. Almeida and J. M. {Bioucas-Dias} and X. Briottet and J. Chanussot and N. Dobigeon and S. Fabre\n                  and W. Liao and G. Licciardi and M. Simoes and J.-Y. Tourneret and M. Veganzones and G. Vivone and Q. Wei and N. Yokoya},\n  title        = {Hyperspectral pansharpening: a review},\n  journal      = {IEEE Geoscience and Remote Sensing Magazine},\n  year         = {2015},\n  month        = {Sept.},\n  volume       = {3},\n  number       = {3},\n  pages        = {27--46},\n  webpage      = {http://dobigeon.perso.enseeiht.fr/applications/app_fusion.html},\n  type\t\t   = {International journals},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Bayesian estimation of the multifractality parameter for image texture using a Whittle approximation.\n \n \n \n\n\n \n Combrexelle, S.; Wendt, H.; Dobigeon, N.; Tourneret, J.; McLaughlin, S.; and Abry, P.\n\n\n \n\n\n\n IEEE Trans. Image Processing, 24(8): 2540–2551. Aug. 2015.\n \n\n\n\n
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@Article{Combrexelle_IEEE_Trans_IP_2015,\n  author       = {S. Combrexelle and H. Wendt and N. Dobigeon and J.-Y. Tourneret and S. McLaughlin and P. Abry},\n  title        = {Bayesian estimation of the multifractality parameter for image texture using a {W}hittle approximation},\n  journal      = {IEEE Trans. Image Processing},\n  year         = 2015,\n  month        = {Aug.},\n  volume       = {24},\n  number       = {8},\n  pages        = {2540--2551},\n  webpage      = {http://dobigeon.perso.enseeiht.fr/applications/app_texture.html},\n  type\t\t   = {International journals},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Bayesian fusion of multi-band images.\n \n \n \n\n\n \n Wei, Q.; Dobigeon, N.; and Tourneret, J.\n\n\n \n\n\n\n IEEE J. Sel. Topics Signal Processing, 9(6): 1117–1127. Sept. 2015.\n \n\n\n\n
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@Article{Wei_IEEE_JSTSP_2015,\n  author       = {Q. Wei and N. Dobigeon and J.-Y. Tourneret},\n  title        = {Bayesian fusion of multi-band images},\n  journal      = {IEEE J. Sel. Topics Signal Processing},\n  year         = 2015,\n  month        = {Sept.},\n  volume       = {9},\n  number       = {6},\n  pages        = {1117--1127},\n  webpage      = {http://dobigeon.perso.enseeiht.fr/applications/app_fusion.html},\n  type\t\t   = {International journals},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Hyperspectral and multispectral image fusion based on a sparse representation.\n \n \n \n\n\n \n Wei, Q.; Bioucas-Dias, J. M.; Dobigeon, N.; and Tourneret, J.\n\n\n \n\n\n\n IEEE Trans. Geoscience and Remote Sensing, 53(17): 3658–3668. Jul. 2015.\n \n\n\n\n
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@Article{Wei_IEEE_Trans_GRS_2015,\n  author       = {Q. Wei and J. M. {Bioucas-Dias} and N. Dobigeon and J.-Y. Tourneret},\n  title        = {Hyperspectral and multispectral image fusion based on a sparse representation},\n  journal      = {IEEE Trans. Geoscience and Remote Sensing},\n  year         = 2015,\n  month        = {Jul.},\n  volume       = {53},\n  number       = {17},\n  pages        = {3658--3668},\n  webpage      = {http://dobigeon.perso.enseeiht.fr/applications/app_fusion.html},\n  type\t\t   = {International journals},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Toward fast transform learning.\n \n \n \n\n\n \n Chabiron, O.; Malgouyres, F.; Tourneret, J.; and Dobigeon, N.\n\n\n \n\n\n\n Int. J. Comp. Vision, 114(2): 195–216. Sept. 2015.\n \n\n\n\n
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@Article{Chabiron_IJCV_2015,\n  author       = {O. Chabiron and F. Malgouyres and J.-Y. Tourneret and N. Dobigeon},\n  title        = {Toward fast transform learning},\n  journal      = {Int. J. Comp. Vision},\n  year         = 2015,\n  month        = {Sept.},\n  volume       = {114},\n  number       = {2},\n  pages        = {195--216},\n  webpage      = {http://chabiron.perso.enseeiht.fr/research.html},\n  type\t\t   = {International journals},  \n}\n\n\n\n
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\n  \n 2014\n \n \n (7)\n \n \n
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\n \n\n \n \n \n \n \n A comparison of nonlinear mixing models for vegetated areas using simulated and real hyperspectral data.\n \n \n \n\n\n \n Dobigeon, N.; Tits, L.; Somers, B.; Altmann, Y.; and Coppin, P.\n\n\n \n\n\n\n IEEE J. Sel. Topics Appl. Earth Observations Remote Sensing, 7(6): 1869–1878. June 2014.\n \n\n\n\n
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@Article{Dobigeon_IEEE_JSTARS_2014,\n  author       = {N. Dobigeon and L. Tits and B. Somers and Y. Altmann and P. Coppin},\n  title        = {A comparison of nonlinear mixing models for vegetated areas using simulated and real hyperspectral data},\n  journal      = {IEEE J. Sel. Topics Appl. Earth Observations Remote Sensing},\n  year         = 2014,\n  month        = {June},\n  volume       = {7},\n  number       = {6},\n  pages        = {1869--1878},\n  webpage      = {http://dobigeon.perso.enseeiht.fr/applications/app_hyper_NLMM_validation.html},\n  type\t\t   = {International journals},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Unsupervised post-nonlinear unmixing of hyperspectral images using a Hamiltonian Monte Carlo algorithm.\n \n \n \n\n\n \n Altmann, Y.; Dobigeon, N.; and Tourneret, J.\n\n\n \n\n\n\n IEEE Trans. Image Processing, 23(6): 2663–2675. June 2014.\n \n\n\n\n
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@Article{Altmann_IEEE_Trans_IP_2014b,\n  author       = {Y. Altmann and N. Dobigeon and J.-Y. Tourneret},\n  title        = {Unsupervised post-nonlinear unmixing of hyperspectral images using a {H}amiltonian {M}onte {C}arlo algorithm},\n  journal      = {IEEE Trans. Image Processing},\n  year         = {2014},\n  month        = {June},\n  volume       = {23},\n  number       = {6},\n  pages        = {2663--2675},\n  type\t\t   = {International journals},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Residual component analysis of hyperspectral images - Application to joint nonlinear unmixing and nonlinearity detection.\n \n \n \n\n\n \n Altmann, Y.; Dobigeon, N.; McLaughlin, S.; and Tourneret, J.\n\n\n \n\n\n\n IEEE Trans. Image Processing, 23(5): 2148–2158. May 2014.\n \n\n\n\n
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@Article{Altmann_IEEE_Trans_IP_2014a,\n  author       = {Y. Altmann and N. Dobigeon and S. McLaughlin and J.-Y. Tourneret},\n  title        = {Residual component analysis of hyperspectral images - {A}pplication to joint nonlinear unmixing and nonlinearity detection},\n  journal      = {IEEE Trans. Image Processing},\n  year         = {2014},\n  month        = {May},\n  volume       = {23},\n  number       = {5},\n  pages        = {2148--2158},\n  type\t\t   = {International journals},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Joint Bayesian estimation of close subspaces from noisy measurements.\n \n \n \n\n\n \n Besson, O.; Dobigeon, N.; and Tourneret, J.\n\n\n \n\n\n\n IEEE Signal Processing Letters, 21(2): 168–171. Feb. 2014.\n \n\n\n\n
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@Article{Besson_IEEE_SP_Letters_2014,\n  author       = {O. Besson and N. Dobigeon and J.-Y. Tourneret},\n  title        = {Joint {B}ayesian estimation of close subspaces from noisy measurements},\n  journal      = {IEEE Signal Processing Letters},\n  year         = {2014},\n  month        = {Feb.},\n  volume       = {21},\n  number       = {2},\n  pages        = {168--171},\n  type\t\t   = {International journals},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Nonlinear unmixing of hyperspectral images: Models and algorithms.\n \n \n \n\n\n \n Dobigeon, N.; Tourneret, J.; Richard, C.; Bermudez, J. C. M.; McLaughlin, S.; and Hero, A. O.\n\n\n \n\n\n\n IEEE Signal Processing Magazine, 31(1): 82–94. Jan. 2014.\n \n\n\n\n
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@Article{Dobigeon_IEEE_SP_Mag_2014,\n  author       = {N. Dobigeon and J.-Y. Tourneret and C. Richard and J. C. M. Bermudez and S. McLaughlin and A. O. Hero},\n  title        = {Nonlinear unmixing of hyperspectral images: Models and algorithms},\n  journal      = {IEEE Signal Processing Magazine},\n  year         = {2014},\n  month        = {Jan.},\n  volume       = {31},\n  number       = {1},\n  pages        = {82--94},\n  webpage      = {http://dobigeon.perso.enseeiht.fr/applications/app_hyper.html},\n  type\t\t   = {International journals},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Computing the Cramer-Rao bound of Markov random field parameters: Application to the Ising and the Potts models.\n \n \n \n\n\n \n Pereyra, M.; Dobigeon, N.; Batatia, H.; and Tourneret, J.\n\n\n \n\n\n\n IEEE Signal Processing Letters, 21(1): 47–50. Jan. 2014.\n \n\n\n\n
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@Article{Pereyra_IEEE_SP_Letters_2014,\n  author       = {M. Pereyra and N. Dobigeon and H. Batatia and J.-Y. Tourneret},\n  title        = {Computing the {C}ramer-{R}ao bound of {M}arkov random field parameters: Application to the {I}sing and the {P}otts models},\n  journal      = {IEEE Signal Processing Letters},\n  year         = 2014,\n  month        = {Jan.},\n  volume       = {21},\n  number       = {1},\n  pages        = {47--50},\n  type\t\t   = {International journals},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Variational semi-blind sparse deconvolution with orthogonal kernel bases and its application to MRFM.\n \n \n \n\n\n \n Park, S.; Dobigeon, N.; and Hero, A. O.\n\n\n \n\n\n\n Signal Processing, 94: 386–400. Jan. 2014.\n \n\n\n\n
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@Article{Park_ELSEVIER_SP_2014,\n  author       = {S.-U. Park and N. Dobigeon and A. O. Hero},\n  title        = {Variational semi-blind sparse deconvolution with orthogonal kernel bases and its application to {MRFM}},\n  journal      = {Signal Processing},\n  year         = 2014,\n  month        = {Jan.},\n  volume       = {94},\n  pages        = {386--400},\n  type\t\t   = {International journals},  \n}\n\n\n
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\n  \n 2013\n \n \n (5)\n \n \n
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\n \n\n \n \n \n \n \n Estimating the granularity coefficient of a Potts-Markov random field within an MCMC algorithm.\n \n \n \n\n\n \n Pereyra, M.; Dobigeon, N.; Batatia, H.; and Tourneret, J.\n\n\n \n\n\n\n IEEE Trans. Image Processing, 22(6): 2385–2397. June 2013.\n \n\n\n\n
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@Article{Pereyra_IEEE_Trans_IP_2013,\n  author       = {M. Pereyra and N. Dobigeon and H. Batatia and J.-Y. Tourneret},\n  title        = {Estimating the granularity coefficient of a {P}otts-{M}arkov random field within an {MCMC} algorithm},\n  journal      = {IEEE Trans. Image Processing},\n  year         = 2013,\n  month        = {June},\n  volume       = {22},\n  number       = {6},\n  pages        = {2385--2397},\n  type\t\t   = {International journals},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Unsupervised Bayesian linear unmixing of gene expression microarrays.\n \n \n \n\n\n \n Bazot, C.; Dobigeon, N.; Tourneret, J.; Zaas, A. K.; Ginsburg, G. S.; and Hero, A. O.\n\n\n \n\n\n\n BMC Bioinformatics, 14(99). March 2013.\n \n\n\n\n
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@Article{Bazot_BMC_Bioinfo_2013,\n  author       = {C. Bazot and N. Dobigeon and J.-Y. Tourneret and A. K. Zaas and G. S. Ginsburg and A. O. Hero},\n  title        = {Unsupervised {B}ayesian linear unmixing of gene expression microarrays},\n  journal      = {BMC Bioinformatics},\n  volume       = {14},\n  number       = {99},\n  month        = {March},\n  year         = 2013,\n  webpage      = {http://dobigeon.perso.enseeiht.fr/applications/app_BFA.html},\n  supplement   = {http://dobigeon.perso.enseeiht.fr/papers/Bazot_BMC_Bioinfo_2013_AddFile.pdf},\n  type\t\t   = {International journals},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Nonlinear spectral unmixing of hyperspectral images using Gaussian processes.\n \n \n \n\n\n \n Altmann, Y.; Dobigeon, N.; McLaughlin, S.; and Tourneret, J.\n\n\n \n\n\n\n IEEE Trans. Signal Processing, 61(10): 2442–2453. May 2013.\n \n\n\n\n
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@Article{Altmann_IEEE_Trans_SP_2013,\n  author       = {Y. Altmann and N. Dobigeon and S. McLaughlin and J.-Y. Tourneret},\n  title        = {Nonlinear spectral unmixing of hyperspectral images using {G}aussian processes},\n  journal      = {IEEE Trans. Signal Processing},\n  year         = 2013,\n  month        = {May},\n  volume       = {61},\n  number       = {10},\n  pages        = {2442--2453},\n  type\t\t   = {International journals},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Nonlinearity detection in hyperspectral images using a polynomial post-nonlinear mixing model.\n \n \n \n\n\n \n Altmann, Y.; Dobigeon, N.; and Tourneret, J.\n\n\n \n\n\n\n IEEE Trans. Image Processing, 22(4): 1267–1276. Apr. 2013.\n \n\n\n\n
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@Article{Altmann_IEEE_Trans_IP_2013,\n  author       = {Y. Altmann and N. Dobigeon and J.-Y. Tourneret},\n  title        = {Nonlinearity detection in hyperspectral images using a polynomial post-nonlinear mixing model},\n  journal      = {IEEE Trans. Image Processing},\n  year         = 2013,\n  month        = {Apr.},\n  volume       = {22},\n  number       = {4},\n  pages        = {1267--1276},\n  webpage      = {http://dobigeon.perso.enseeiht.fr/applications/app_hyper_PPNM_detection.html},\n  type\t\t   = {International journals},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Adaptive Markov random fields for joint unmixing and segmentation of hyperspectral image.\n \n \n \n\n\n \n Eches, O.; Benediktsson, J. A.; Dobigeon, N.; and Tourneret, J.\n\n\n \n\n\n\n IEEE Trans. Image Processing, 22(1): 5–16. Jan. 2013.\n \n\n\n\n
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@Article{Eches_IEEE_Trans_IP_2013,\n  author       = {O. Eches and J. A. Benediktsson and N. Dobigeon and J.-Y. Tourneret},\n  title        = {Adaptive {M}arkov random fields for joint unmixing and segmentation of hyperspectral image},\n  journal      = {IEEE Trans. Image Processing},\n  year         = 2013,\n  month        = {Jan.},\n  volume       = {22},\n  number       = {1},\n  pages        = {5--16},\n  type\t\t   = {International journals},  \n}\n\n\n\n
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\n  \n 2012\n \n \n (8)\n \n \n
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\n \n\n \n \n \n \n \n Semi-blind sparse image reconstruction with application to MRFM.\n \n \n \n\n\n \n Park, S.; Dobigeon, N.; and Hero, A. O.\n\n\n \n\n\n\n IEEE Trans. Image Processing, 21(9): 3838–3849. Sept. 2012.\n \n\n\n\n
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@Article{Park_IEEE_Trans_IP_2012,\n  author       = {S.-U. Park and N. Dobigeon and A. O. Hero},\n  title        = {Semi-blind sparse image reconstruction with application to {MRFM}},\n  journal      = {IEEE Trans. Image Processing},\n  year         = 2012,\n  month        = {Sept.},\n  volume       = {21},\n  number       = {9},\n  pages        = {3838--3849},\n  type\t\t   = {International journals},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Spectral mixture analysis of EELS spectrum-images.\n \n \n \n\n\n \n Dobigeon, N.; and Brun, N.\n\n\n \n\n\n\n Ultramicroscopy, 120: 25–34. Sept. 2012.\n \n\n\n\n
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@Article{Dobigeon_Ultramicroscopy_2012,\n  author       = {N. Dobigeon and N. Brun},\n  title        = {Spectral mixture analysis of {EELS} spectrum-images},\n  journal      = {Ultramicroscopy},\n  year         = 2012,\n  month        = {Sept.},\n  volume       = {120},\n  pages        = {25--34},\n  webpage      = {http://dobigeon.perso.enseeiht.fr/applications/app_EELS.html},\n  type\t\t   = {International journals},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n CS decomposition based Bayesian subspace estimation.\n \n \n \n\n\n \n Besson, O.; Dobigeon, N.; and Tourneret, J.\n\n\n \n\n\n\n IEEE Trans. Signal Processing, 60(8): 4210–4218. Aug. 2012.\n \n\n\n\n
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@Article{Besson_IEEE_Trans_SP_2012,\n  author       = {O. Besson and N. Dobigeon and J.-Y. Tourneret},\n  title        = {{CS} decomposition based {B}ayesian subspace estimation},\n  journal      = {IEEE Trans. Signal Processing},\n  year         = 2012,\n  month        = {Aug.},\n  volume       = {60},\n  number       = {8},\n  pages        = {4210--4218},\n  webpage      = {http://dobigeon.perso.enseeiht.fr/applications/app_MMSD.html},\n  type\t\t   = {International journals},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Segmentation of skin lesions in 2D and 3D ultrasound images using a spatially coherent generalized Rayleigh mixture model.\n \n \n \n\n\n \n Pereyra, M.; Dobigeon, N.; Batatia, H.; and Tourneret, J.\n\n\n \n\n\n\n IEEE Trans. Med. Imaging, 31(8): 1509–1520. Aug. 2012.\n \n\n\n\n
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@Article{Pereyra_IEEE_Trans_MI_2012,\n  author       = {M. Pereyra and N. Dobigeon and H. Batatia and J.-Y. Tourneret},\n  title        = {Segmentation of skin lesions in 2D and 3D ultrasound images using a spatially coherent generalized {R}ayleigh mixture model},\n  journal      = {IEEE Trans. Med. Imaging},\n  year         = 2012,\n  month        = {Aug.},\n  volume       = {31},\n  number       = {8},\n  pages        = {1509--1520},\n  webpage      = {http://dobigeon.perso.enseeiht.fr/applications/app_US.html},\n  type\t\t   = {International journals},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Blind deconvolution of sparse pulse sequences under a minimum distance constraint: a partially collapsed Gibbs sampler method.\n \n \n \n\n\n \n Kail, G.; Tourneret, J.; Hlawatsch, F.; and Dobigeon, N.\n\n\n \n\n\n\n IEEE Trans. Signal Processing, 60(6): 2727–2743. June 2012.\n \n\n\n\n
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@Article{Kail_IEEE_Trans_SP_2012,\n  author       = {G. Kail and J.-Y. Tourneret and F. Hlawatsch and N. Dobigeon},\n  title        = {Blind deconvolution of sparse pulse sequences under a minimum distance constraint: a partially collapsed {G}ibbs sampler method},\n  journal      = {IEEE Trans. Signal Processing},\n  year         = 2012,\n  month        = {June},\n  volume       = {60},\n  number       = {6},\n  pages        = {2727--2743},\n  type\t\t   = {International journals},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Supervised nonlinear spectral unmixing using a post-nonlinear mixing model for hyperspectral imagery.\n \n \n \n\n\n \n Altmann, Y.; Halimi, A.; Dobigeon, N.; and Tourneret, J.\n\n\n \n\n\n\n IEEE Trans. Image Processing, 21(6): 3017–3025. June 2012.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Article{Altmann_IEEE_Trans_IP_2012,\n  author       = {Y. Altmann and A. Halimi and N. Dobigeon and J.-Y. Tourneret},\n  title        = {Supervised nonlinear spectral unmixing using a post-nonlinear mixing model for hyperspectral imagery},\n  journal      = {IEEE Trans. Image Processing},\n  year         = 2012,\n  month        = {June},\n  volume       = {21},\n  number       = {6},\n  pages        = {3017--3025},\n  webpage      = {http://dobigeon.perso.enseeiht.fr/applications/app_PPNM.html},\n  type\t\t   = {International journals},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse Regression-Based Approaches.\n \n \n \n\n\n \n Bioucas-Dias, J. M.; Plaza, A.; Dobigeon, N.; Parente, M.; Du, Q.; Gader, P.; and Chanussot, J.\n\n\n \n\n\n\n IEEE J. Sel. Topics Appl. Earth Observations Remote Sensing, 5(2): 354–379. Apr. 2012.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Article{Bioucas_IEEE_JSTARS_2012,\n  author       = {J. M. {Bioucas-Dias} and  A. Plaza and N. Dobigeon and M. Parente and Q. Du and P. Gader and J. Chanussot},\n  title        = {Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse Regression-Based Approaches},\n  journal      = {IEEE J. Sel. Topics Appl. Earth Observations Remote Sensing},\n  year         = 2012,\n  month        = {Apr.},\n  volume       = {5},\n  number       = {2},\n  pages        = {354--379},\n  type\t\t   = {International journals},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Hyperspectral image unmixing using a multiresolution sticky HDP.\n \n \n \n\n\n \n Mittelman, R.; Dobigeon, N.; and Hero, A. O.\n\n\n \n\n\n\n IEEE Trans. Signal Processing, 60(4): 1656–1671. Apr. 2012.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Article{Mittelman_IEEE_Trans_SP_2012,\n  author       = {R. Mittelman and N. Dobigeon and A. O. Hero},\n  title        = {Hyperspectral image unmixing using a multiresolution sticky {HDP}},\n  journal      = {IEEE Trans. Signal Processing},\n  year         = 2012,\n  month        = {Apr.},\n  volume       = {60},\n  number       = {4},\n  pages        = {1656--1671},\n  webpage      = {http://tbayes.eecs.umich.edu/roni/shdp_tsp},\n  type\t\t   = {International journals},  \n}\n\n\n\n
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\n  \n 2011\n \n \n (4)\n \n \n
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\n \n\n \n \n \n \n \n Minimum mean square distance estimation of a subspace.\n \n \n \n\n\n \n Besson, O.; Dobigeon, N.; and Tourneret, J.\n\n\n \n\n\n\n IEEE Trans. Signal Processing, 59(12): 5709–5720. Dec. 2011.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Article{Besson_IEEE_Trans_SP_2011,\n  author       = {O. Besson and N. Dobigeon and J.-Y. Tourneret},\n  title        = {Minimum mean square distance estimation of a subspace},\n  journal      = {IEEE Trans. Signal Processing},\n  year         = 2011,\n  month        = {Dec.},\n  volume       = {59},\n  number       = {12},\n  pages        = {5709--5720},\n  webpage      = {http://dobigeon.perso.enseeiht.fr/applications/app_MMSD.html},\n  type\t\t   = {International journals},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Enhancing hyperspectral image unmixing with spatial correlations.\n \n \n \n\n\n \n Eches, O.; Dobigeon, N.; and Tourneret, J.\n\n\n \n\n\n\n IEEE Trans. Geoscience and Remote Sensing, 49(11): 4239–4247. Nov. 2011.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Article{Eches_IEEE_Trans_GRS_2011,\n  author       = {O. Eches and N. Dobigeon and J.-Y. Tourneret},\n  title        = {Enhancing hyperspectral image unmixing with spatial correlations},\n  journal      = {IEEE Trans. Geoscience and Remote Sensing},\n  year         = 2011,\n  month        = {Nov.},\n  volume       = {49},\n  number       = {11},\n  pages        = {4239--4247},\n  type\t\t   = {International journals},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Nonlinear unmixing of hyperspectral images using a generalized bilinear model.\n \n \n \n\n\n \n Halimi, A.; Altmann, Y.; Dobigeon, N.; and Tourneret, J.\n\n\n \n\n\n\n IEEE Trans. Geoscience and Remote Sensing, 49(11): 4153–4162. Nov. 2011.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Article{Halimi_IEEE_Trans_GRS_2011,\n  author       = {A. Halimi and Y. Altmann and N. Dobigeon and J.-Y. Tourneret},\n  title        = {Nonlinear unmixing of hyperspectral images using a generalized bilinear model},\n  journal      = {IEEE Trans. Geoscience and Remote Sensing},\n  year         = 2011,\n  month        = {Nov.},\n  volume       = {49},\n  number       = {11},\n  pages        = {4153--4162},\n  webpage      = {http://dobigeon.perso.enseeiht.fr/applications/app_hyper_GBM.html},\n  supplement   = {http://dobigeon.perso.enseeiht.fr/papers/Halimi_IEEE_Trans_GRS_2011_erratum.pdf},\n  type\t\t   = {International journals},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Temporal Dynamics of Host Molecular Responses Differentiate Symptomatic and Asymptomatic Influenza A Infection.\n \n \n \n\n\n \n Huang, Y.; Zaas, A. K.; Rao, A.; Dobigeon, N.; Woolf, P. J.; Veldman, T.; Oien, N. C.; McClain, M. T.; Varkey, J. B.; Nicholson, B.; Carin, L.; Kingsmore, S.; Woods, C. W.; Ginsburg, G. S.; and Hero, A. O.\n\n\n \n\n\n\n PLoS Genetics, 8(7): e1002234. Aug. 2011.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Article{Huang_PLoS_Genetics_2011,\n  author       = {Y. Huang and A. K. Zaas and A. Rao and N. Dobigeon and P. J. Woolf  and\n                  T. Veldman and N. C. Oien and M. T. McClain and J. B. Varkey and B. Nicholson and\n                  L. Carin and S. Kingsmore and C. W. Woods and G. S. Ginsburg and A. O. Hero},\n  title        = {Temporal Dynamics of Host Molecular Responses Differentiate Symptomatic and Asymptomatic Influenza {A} Infection},\n  journal      = {PLoS Genetics},\n  year         = 2011,\n  month        = {Aug.},\n  volume       = {8},\n  number       = {7},\n  pages        = {e1002234},\n  webpage      = {http://dobigeon.perso.enseeiht.fr/applications/app_BFA.html},\n  type\t\t   = {International journals},  \n}\n\n\n\n
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\n  \n 2010\n \n \n (4)\n \n \n
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\n \n\n \n \n \n \n \n Implementation strategies for hyperspectral unmixing using Bayesian source separation.\n \n \n \n\n\n \n Schmidt, F.; Guiheneuf, M.; Moussaoui, S.; Tréguier, E.; Schmidt, A.; and Dobigeon, N.\n\n\n \n\n\n\n IEEE Trans. Geoscience and Remote Sensing, 48(11): 4003–4013. Nov. 2010.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Article{Schmidt_IEEE_Trans_GRS_2010,\n  author       = {F. Schmidt and M. Guiheneuf and S. Moussaoui and E. Tr\\'eguier and A. Schmidt and N. Dobigeon},\n  title        = {Implementation strategies for hyperspectral unmixing using {B}ayesian source separation},\n  journal      = {IEEE Trans. Geoscience and Remote Sensing},\n  year         = 2010,\n  month        = {Nov.},\n  volume       = {48},\n  number       = {11},\n  pages        = {4003--4013},\n  webpage      = {http://sites.google.com/site/fredericschmidtplanets/Home/hyperspectral-reference},\n  type\t\t   = {International journals},  \n}\n\n\n\n\n
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\n \n\n \n \n \n \n \n Estimating the number of endmembers in hyperspectral images using the normal compositional model and a hierarchical Bayesian algorithm.\n \n \n \n\n\n \n Eches, O.; Dobigeon, N.; and Tourneret, J.\n\n\n \n\n\n\n IEEE J. Sel. Topics Signal Processing, 4(3): 582–591. June 2010.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Article{Eches_IEEE_JSTSP_2010,\n  author       = {O. Eches and N. Dobigeon and J.-Y. Tourneret},\n  title        = {Estimating the number of endmembers in hyperspectral images using the normal compositional model and a hierarchical {B}ayesian algorithm},\n  journal      = {IEEE J. Sel. Topics Signal Processing},\n  year         = 2010,\n  month        = {June},\n  volume       = {4},\n  number       = {3},\n  pages        = {582--591},\n  webpage      = {http://dobigeon.perso.enseeiht.fr/applications/app_hyper_NCM.html},\n  type\t\t   = {International journals},  \n}\n\n\n\n\n
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\n \n\n \n \n \n \n \n Bayesian estimation of linear mixtures using the normal compositional model. Application to hyperspectral imagery.\n \n \n \n\n\n \n Eches, O.; Dobigeon, N.; Mailhes, C.; and Tourneret, J.\n\n\n \n\n\n\n IEEE Trans. Image Processing, 19(6): 1403–1413. June 2010.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Article{Eches_IEEE_Trans_IP_2010,\n  author       = {O. Eches and N. Dobigeon and C. Mailhes and J.-Y. Tourneret},\n  title        = {{B}ayesian estimation of linear mixtures using the normal compositional model. Application to hyperspectral imagery},\n  journal      = {IEEE Trans. Image Processing},\n  year         = 2010,\n  month        = {June},\n  volume       = {19},\n  number       = {6},\n  pages        = {1403--1413},\n  webpage      = {http://dobigeon.perso.enseeiht.fr/applications/app_hyper_NCM.html},\n  type\t\t   = {International journals},  \n}\n\n\n\n\n
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\n \n\n \n \n \n \n \n Bayesian orthogonal component analysis for sparse representation.\n \n \n \n\n\n \n Dobigeon, N.; and Tourneret, J.\n\n\n \n\n\n\n IEEE Trans. Signal Processing, 58(5): 2675–2685. May 2010.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Article{Dobigeon_IEEE_Trans_SP_2010,\n  author       = {N. Dobigeon and J.-Y. Tourneret},\n  title        = {{B}ayesian orthogonal component analysis for sparse representation},\n  journal      = {IEEE Trans. Signal Processing},\n  year         = 2010,\n  month        = {May},\n  volume       = {58},\n  number       = {5},\n  pages        = {2675--2685},\n  webpage      = {http://dobigeon.perso.enseeiht.fr/applications/app_BOCA.html},\n  type\t\t   = {International journals},  \n}\n\n\n\n
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\n  \n 2009\n \n \n (3)\n \n \n
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\n \n\n \n \n \n \n \n Bayesian separation of spectral sources under non-negativity and full additivity constraints.\n \n \n \n\n\n \n Dobigeon, N.; Moussaoui, S.; Tourneret, J.; and Carteret, C.\n\n\n \n\n\n\n Signal Processing, 89(12): 2657–2669. Dec. 2009.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Article{Dobigeon_ELSEVIER_SP_2009,\n  author       = {N. Dobigeon and S. Moussaoui and J.-Y. Tourneret and C. Carteret},\n  title        = {{B}ayesian separation of spectral sources under non-negativity and full additivity constraints},\n  journal      = {Signal Processing},\n  year         = 2009,\n  month        = {Dec.},\n  volume       = {89},\n  number       = {12},\n  pages        = {2657--2669},\n  webpage      = {http://dobigeon.perso.enseeiht.fr/applications/app_spectro.html},\n  type\t\t   = {International journals},  \n}\n\n\n
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\n \n\n \n \n \n \n \n Joint Bayesian endmember extraction and linear unmixing for hyperspectral imagery.\n \n \n \n\n\n \n Dobigeon, N.; Moussaoui, S.; Coulon, M.; Tourneret, J.; and Hero, A. O.\n\n\n \n\n\n\n IEEE Trans. Signal Processing, 57(11): 4355–4368. Nov. 2009.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Article{Dobigeon_IEEE_Trans_SP_2009,\n  author       = {N. Dobigeon and S. Moussaoui and M. Coulon and J.-Y. Tourneret and A. O. Hero},\n  title        = {Joint {B}ayesian endmember extraction and linear unmixing for hyperspectral imagery},\n  journal      = {IEEE Trans. Signal Processing},\n  year         = 2009,\n  month        = {Nov.},\n  volume       = {57},\n  number       = {11},\n  pages        = {4355--4368},\n  webpage      = {http://dobigeon.perso.enseeiht.fr/applications/app_hyper_SMA.html},\n  type\t\t   = {International journals},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Hierarchical Bayesian sparse image reconstruction with application to MRFM.\n \n \n \n\n\n \n Dobigeon, N.; Hero, A. O.; and Tourneret, J.\n\n\n \n\n\n\n IEEE Trans. Image Processing, 18(9): 2059–2070. Sept. 2009.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Article{Dobigeon_IEEE_Trans_IP_2009,\n  author       = {N. Dobigeon and A. O. Hero and J.-Y. Tourneret},\n  title        = {Hierarchical {B}ayesian sparse image reconstruction with application to {MRFM}},\n  journal      = {IEEE Trans. Image Processing},\n  year         = 2009,\n  month        = {Sept.},\n  volume       = {18},\n  number       = {9},\n  pages        = {2059--2070},\n  webpage      = {http://dobigeon.perso.enseeiht.fr/applications/app_MRFM.html},\n  type\t\t   = {International journals},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Semi-supervised linear spectral unmixing using a hierarchical Bayesian model for hyperspectral imagery.\n \n \n \n\n\n \n Dobigeon, N.; Tourneret, J.; and Chang, C.\n\n\n \n\n\n\n IEEE Trans. Signal Processing, 56(7): 2684–2695. Jul. 2008.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Article{Dobigeon_IEEE_Trans_SP_2008,\n  author       = {N. Dobigeon and J.-Y. Tourneret and C.-I Chang},\n  title        = {Semi-supervised linear spectral unmixing using a hierarchical {B}ayesian model for hyperspectral imagery},\n  journal      = {IEEE Trans. Signal Processing},\n  year         = 2008,\n  month        = {Jul.},\n  volume       = {56},\n  number       = {7},\n  pages        = {2684--2695},\n  webpage      = {http://dobigeon.perso.enseeiht.fr/applications/app_hyper_LMM.html},\n  type\t\t   = {International journals},  \n}\n\n\n\n
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\n  \n 2007\n \n \n (3)\n \n \n
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\n \n\n \n \n \n \n \n Joint segmentation of wind speed and direction using a hierarchical model.\n \n \n \n\n\n \n Dobigeon, N.; and Tourneret, J.\n\n\n \n\n\n\n Computational Statistics and Data Analysis, 51(12): 5603–5621. Aug. 2007.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Article{Dobigeon_ELSEVIER_CSDA_2007,\n  author       = {N. Dobigeon and J.-Y. Tourneret},\n  title        = {Joint segmentation of wind speed and direction using a hierarchical model},\n  journal      = {Computational Statistics and Data Analysis},\n  year         = 2007,\n  month        = {Aug.},\n  volume       = 51,\n  number       = 12,\n  pages        = {5603--5621},\n  type\t\t   = {International journals},  \n}\n\n\n\n
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\n \n\n \n \n \n \n \n Joint segmentation of piecewise constant autoregressive processes by using a hierarchical model and a Bayesian sampling approach.\n \n \n \n\n\n \n Dobigeon, N.; Tourneret, J.; and Davy, M.\n\n\n \n\n\n\n IEEE Trans. Signal Processing, 55(4): 1251–1263. April 2007.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Article{Dobigeon_IEEE_Trans_SP_2007b,\n  author       = {N. Dobigeon and J.-Y. Tourneret and M. Davy},\n  title        = {Joint segmentation of piecewise constant autoregressive processes\n                  by using a hierarchical model and a {B}ayesian sampling approach},\n  journal      = {IEEE Trans. Signal Processing},\n  year         = 2007,\n  month        = {April},\n  volume       = 55,\n  number       = 4,\n  pages        = {1251--1263},\n  webpage      = {http://dobigeon.perso.enseeiht.fr/applications/app_AR_seg.html},\n  type\t\t   = {International journals},  \n}\n\n\n
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\n \n\n \n \n \n \n \n Joint Segmentation of Multivariate Astronomical Time Series: Bayesian Sampling with a Hierarchical Model.\n \n \n \n\n\n \n Dobigeon, N.; Tourneret, J.; and Scargle, J. D.\n\n\n \n\n\n\n IEEE Trans. Signal Processing, 55(2): 414–423. Feb. 2007.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Article{Dobigeon_IEEE_Trans_SP_2007a,\n  author       = {N. Dobigeon and J.-Y. Tourneret and J. D. Scargle},\n  title        = {Joint Segmentation of Multivariate Astronomical Time Series:\n                  {B}ayesian Sampling with a Hierarchical Model},\n  journal      = {IEEE Trans. Signal Processing},\n  year         = 2007,\n  month        = {Feb.},\n  volume       = 55,\n  number       = 2,\n  pages        = {414--423},\n  webpage      = {http://dobigeon.perso.enseeiht.fr/applications/app_astro_seg.html},\n  type\t\t   = {International journals},  \n}\n\n\n%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n%%       Nat. Journal papers      %%\n%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n\n
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\n \n\n \n \n \n \n \n \n Plug-and-Play split Gibbs sampler: embedding deep generative priors in Bayesian inference.\n \n \n \n \n\n\n \n Coeurdoux, F.; Dobigeon, N.; and Chainais, P.\n\n\n \n\n\n\n IEEE Trans. Image Processing. to appear.\n \n\n\n\n
\n\n\n\n \n \n \"Plug-and-PlayPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Article{Coeurdoux_IEEE_Trans_IP_2024,\n  author       = {F. Coeurdoux and N. Dobigeon and P. Chainais},\n  title        = {Plug-and-Play split {G}ibbs sampler: embedding deep generative priors in {B}ayesian inference},\n  journal      = {IEEE Trans. Image Processing},   \n  year         = {to appear},\n  month        = {},\n  volume       = {},\n  pages        = {},  \n  url          = {https://arxiv.org/abs/2304.11134/},  \n  type\t\t   = {International journals},   \n}\n\n\n
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\n  \n 2024\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n Kalman filter based online spectral unmixing.\n \n \n \n\n\n \n Kouakou, H.; de M. Goulart, J. H.; Oberlin, T.; Rousseau, D.; Ruckebusch, C.; and N. Dobigeon, undefined\n\n\n \n\n\n\n In Actes du Colloque Chimiométrie, Nantes, France, 2024. \n in french\n\n\n\n
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@Inproceedings{Kouakou_Chimiometrie_2024,\n  author       = {H. Kouakou and J. H. de M. Goulart and Th. Oberlin and D. Rousseau and C. Ruckebusch and N. Dobigeon,},\n  title        = {Kalman filter based online spectral unmixing},\n  booktitle    = {Actes du Colloque Chimiom\\'etrie},\n  year         = {2024},\n  address      = {Nantes, France},\n  note         = {in french},\n  type\t       = {National conferences},\n}\n\n\n
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\n  \n 2023\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n Méthode MCMC plug-and-play avec a priori génératif profond.\n \n \n \n\n\n \n Coeurdoux, F.; Dobigeon, N.; and Chainais, P.\n\n\n \n\n\n\n In Actes du XXIXième Colloque GRETSI, Grenoble, France, 2023. \n in french\n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Inproceedings{Coeurdoux_GRETSI_2023,\n  author       = {F. Coeurdoux and N. Dobigeon and P. Chainais},\n  title        = {Méthode {MCMC} plug-and-play avec a priori génératif profond},\n  booktitle    = {Actes du XXIXi\\`eme Colloque GRETSI},\n  year         = {2023},\n  address      = {Grenoble, France},\n  note         = {in french},\n  type\t       = {National conferences},\n}\n\n\n
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\n  \n 2022\n \n \n (2)\n \n \n
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\n \n\n \n \n \n \n \n Inspecter les montagnes autrement – Renouvellement méthodologique de la prospection archéologique des terrains d'altitude.\n \n \n \n\n\n \n Calastrenc, C.; Baleux, F.; Poirier, N.; Rendu, C.; Campmajo, P.; Dobigeon, N.; Mellado, N.; Marais-Sicre, C.; Bal, M.; Philippe, M.; and Llubes, M.\n\n\n \n\n\n\n In Actes des Rencontres Internationales d'Archéologie et d'Histoire, Nice, France, 2022. \n in french\n\n\n\n
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@Inproceedings{Calastrenc_RIAH_2022,\n  author       = {C. Calastrenc and F. Baleux and N. Poirier and Ch. Rendu and P. Campmajo and N. Dobigeon and N. Mellado and C. Marais-Sicre and M.-C. Bal and M. Philippe and M. Llubes},\n  title        = {Inspecter les montagnes autrement -- Renouvellement méthodologique de la prospection archéologique des terrains d'altitude},\n  booktitle    = {Actes des Rencontres Internationales d'Archéologie et d'Histoire},\n  year         = {2022},\n  address      = {Nice, France},\n  note         = {in french},\n  type\t       = {National conferences},\n}\n\n\n
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\n \n\n \n \n \n \n \n Approximation du transport optimal entre distributions empiriques par flux de normalisation.\n \n \n \n\n\n \n Coeurdoux, F.; Dobigeon, N.; and Chainais, P.\n\n\n \n\n\n\n In Actes du XXVIIIième Colloque GRETSI, Nancy, France, 2022. \n in french\n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Inproceedings{Coeurdoux_GRETSI_2022,\n  author       = {F. Coeurdoux and N. Dobigeon and P. Chainais},\n  title        = {Approximation du transport optimal entre distributions empiriques par flux de normalisation},\n  booktitle    = {Actes du XXVIIIi\\`eme Colloque GRETSI},\n  year         = {2022},\n  address      = {Nancy, France},\n  note         = {in french},\n  type\t       = {National conferences},\n}\n\n\n
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\n  \n 2021\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n Approche bayésienne à l'estimation de la zone du langage chez des patients ayant eu un AVC.\n \n \n \n\n\n \n Fall, M. D.; Dobigeon, N.; and Auzou, P.\n\n\n \n\n\n\n In Actes des 52ième Journées de Statistique de la Société Française de Statistique (SFdS), Nice, France, 2021. \n in french\n\n\n\n
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@Inproceedings{Fall_SFdS_2021,\n  author       = {Mame Diarra Fall and Nicolas Dobigeon and Pascal Auzou},\n  title        = {Approche bayésienne à l'estimation de la zone du langage chez des patients ayant eu un AVC},\n  booktitle    = {Actes des 52ième Journées de Statistique de la Société Française de Statistique (SFdS)},\n  year         = {2021},\n  address      = {Nice, France},\n  note         = {in french},\n  type\t       = {National conferences},\n}\n\n\n
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\n  \n 2019\n \n \n (6)\n \n \n
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\n \n\n \n \n \n \n \n Cofactorisation de matrices pour le démélange et la classification conjoints d'images hyperspectrales.\n \n \n \n\n\n \n Lagrange, A.; Fauvel, M.; May, S.; and Dobigeon, N.\n\n\n \n\n\n\n In Actes du XXVIIième Colloque GRETSI, Lille, France, 2019. \n in french\n\n\n\n
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@Inproceedings{Lagrange_GRETSI_2019,\n  author       = {A. Lagrange and M. Fauvel and S. May and N. Dobigeon},\n  title        = {Cofactorisation de matrices pour le d\\'em\\'elange et la classification conjoints d'images hyperspectrales},\n  booktitle    = {Actes du XXVIIi\\`eme Colloque GRETSI},\n  year         = {2019},\n  address      = {Lille, France},\n  note         = {in french},\n  type\t       = {National conferences},\n}\n\n\n\n
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\n \n\n \n \n \n \n \n Fusion d'images multispectrales et hyperspectrales pour l'observation en astronomie infrarouge.\n \n \n \n\n\n \n Guilloteau, C.; Oberlin, T.; Berné, O.; and Dobigeon, N.\n\n\n \n\n\n\n In Actes du XXVIIième Colloque GRETSI, Lille, France, 2019. \n in french\n\n\n\n
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@Inproceedings{Guilloteau_GRETSI_2019,\n  author       = {C. Guilloteau and Th. Oberlin and O. Bern\\'e and N. Dobigeon},\n  title        = {Fusion d'images multispectrales et hyperspectrales pour l'observation en astronomie infrarouge},\n  booktitle    = {Actes du XXVIIi\\`eme Colloque GRETSI},\n  year         = {2019},\n  address      = {Lille, France},\n  note         = {in french},\n  type\t       = {National conferences},\n}\n\n\n\n
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\n \n\n \n \n \n \n \n Un modèle augmenté asymptotiquement exact pour la restauration bayésienne d'images dégradées par un bruit de Poisson.\n \n \n \n\n\n \n Vono, M.; Chainais, P.; and Dobigeon, N.\n\n\n \n\n\n\n In Actes du XXVIIième Colloque GRETSI, Lille, France, 2019. \n in french\n\n\n\n
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@Inproceedings{Vono_GRETSI_2019b,\n  author       = {M. Vono and P. Chainais and N. Dobigeon},\n  title        = {Un mod\\`ele augment\\'e asymptotiquement exact pour la restauration bay\\'esienne d'images d\\'egrad\\'ees par un bruit de Poisson},\n  booktitle    = {Actes du XXVIIi\\`eme Colloque GRETSI},\n  year         = {2019},\n  address      = {Lille, France},\n  note         = {in french},\n  type\t       = {National conferences},\n}\n\n\n\n
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\n \n\n \n \n \n \n \n Modèles augmentés asymptotiquement exacts.\n \n \n \n\n\n \n Vono, M.; Chainais, P.; and Dobigeon, N.\n\n\n \n\n\n\n In Actes du XXVIIième Colloque GRETSI, Lille, France, 2019. \n in french\n\n\n\n
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@Inproceedings{Vono_GRETSI_2019a,\n  author       = {M. Vono and P. Chainais and N. Dobigeon},\n  title        = {Mod\\`eles augment\\'es asymptotiquement exacts},\n  booktitle    = {Actes du XXVIIi\\`eme Colloque GRETSI},\n  year         = {2019},\n  address      = {Lille, France},\n  note         = {in french},\n  type\t       = {National conferences},\n}\n\n\n\n
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\n \n\n \n \n \n \n \n Cofactorisation de matrices pour le démélange et la classification conjoints d'images hyperspectrales.\n \n \n \n\n\n \n Lagrange, A.; Fauvel, M.; May, S.; and Dobigeon, N.\n\n\n \n\n\n\n In Actes du Colloque du groupe SFPT-GH, Toulouse, France, 2019. \n in french\n\n\n\n
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@Inproceedings{Lagrange_SFPT_2018,\n  author       = {A. Lagrange and M. Fauvel and S. May and N. Dobigeon},\n  title        = {Cofactorisation de matrices pour le d\\'em\\'elange et la classification conjoints d'images hyperspectrales},\n  booktitle    = {Actes du Colloque du groupe SFPT-GH},\n  year         = {2019},\n  address      = {Toulouse, France},\n  note         = {in french},\n  type\t       = {National conferences},\n}\n\n\n\n
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\n \n\n \n \n \n \n \n Reconstruction de spectres-images STEM-EELS partiellement échantillonnés.\n \n \n \n\n\n \n Monier, E.; Oberlin, T.; Brun, N.; Tencé, M.; de Frutos, M.; and Dobigeon, N.\n\n\n \n\n\n\n In Actes du XVIième Colloque de la Société Française des Microscopies (SFMu), pages 74–75, July 2019. \n \n\n\n\n
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@Inproceedings{Monier_SFMU_2019,\n  author       = {E. Monier and Th. Oberlin and N. Brun and M. Tenc\\'e and M. de Frutos and N. Dobigeon},\n  title        = {Reconstruction de spectres-images STEM-EELS partiellement \\'echantillonn\\'es},\n  booktitle      = {Actes du XVIième Colloque de la Société Française des Microscopies (SFMu)},\n  year         = {2019},\n  month        = {July},\n  pages        = {74--75},\n  type\t       = {National conferences},\n}\n\n\n\n
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\n  \n 2018\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n Un modèle bayésien pour le démélange, la segmentation et la classification robuste d'images hyperspectrales.\n \n \n \n\n\n \n Lagrange, A.; Fauvel, M.; May, S.; and Dobigeon, N.\n\n\n \n\n\n\n In Actes de la Conférence Française de Photogrammétrie et de Télédétection, Marne-la-Vallée, France, 2018. \n in french\n\n\n\n
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@Inproceedings{Lagrange_CFPT_2018,\n  author       = {A. Lagrange and M. Fauvel and S. May and N. Dobigeon},\n  title        = {Un mod\\`ele bay\\'esien pour le d\\'em\\'elange, la segmentation et la classification robuste d'images hyperspectrales},\n  booktitle    = {Actes de la Conf\\'erence Fran\\c{c}aise de Photogramm\\'etrie et de T\\'el\\'ed\\'etection},\n  year         = {2018},\n  address      = {Marne-la-Vall\\'ee, France},\n  note         = {in french},\n  type\t       = {National conferences},\n}\n\n\n\n
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\n  \n 2017\n \n \n (7)\n \n \n
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\n \n\n \n \n \n \n \n Sélection du paramètre de régularisation dans le problème l2-Potts.\n \n \n \n\n\n \n Frecon, J.; Pustelnik, N.; Dobigeon, N.; Wendt, H.; and Abry, P.\n\n\n \n\n\n\n In Actes du XXVIième Colloque GRETSI, Juan-les-Pins, France, 2017. \n in french\n\n\n\n
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@Inproceedings{Frecon_GRETSI_2017,\n  author       = {J. Frecon and N. Pustelnik and N. Dobigeon and H. Wendt and P. Abry},\n  title        = {S\\'election du param\\`etre de r\\'egularisation dans le probl\\`eme l2-Potts},\n  booktitle    = {Actes du XXVIi\\`eme Colloque GRETSI},\n  year         = {2017},\n  address      = {Juan-les-Pins, France},\n  note         = {in french},\n  type\t       = {National conferences},\n}\n\n\n\n
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\n \n\n \n \n \n \n \n Reconstruction de spectres-images partiellement échantillonnés en microscopie EELS.\n \n \n \n\n\n \n Monier, E.; Oberlin, T.; Brun, N.; and Dobigeon, N.\n\n\n \n\n\n\n In Actes du XXVIième Colloque GRETSI, Juan-les-Pins, France, 2017. \n in french\n\n\n\n
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@Inproceedings{Monier_GRETSI_2017,\n  author       = {E. Monier and Th. Oberlin and N. Brun and N. Dobigeon},\n  title        = {Reconstruction de spectres-images partiellement \\'echantillonn\\'es en microscopie {EELS}},\n  booktitle    = {Actes du XXVIi\\`eme Colloque GRETSI},\n  year         = {2017},\n  address      = {Juan-les-Pins, France},\n  note         = {in french},\n  type\t       = {National conferences},\n}\n\n\n\n
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\n \n\n \n \n \n \n \n Un modèle bayésien pour le démélange, la segmentation et la classification robuste d'images hyperspectrales.\n \n \n \n\n\n \n Lagrange, A.; Fauvel, M.; May, S.; and Dobigeon, N.\n\n\n \n\n\n\n In Actes du XXVIième Colloque GRETSI, Juan-les-Pins, France, 2017. \n in french\n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Inproceedings{Lagrange_GRETSI_2017,\n  author       = {A. Lagrange and M. Fauvel and S. May and N. Dobigeon},\n  title        = {Un mod\\`ele bay\\'esien pour le d\\'em\\'elange, la segmentation et la classification robuste d'images hyperspectrales},\n  booktitle    = {Actes du XXVIi\\`eme Colloque GRETSI},\n  year         = {2017},\n  address      = {Juan-les-Pins, France},\n  note         = {in french},\n  type\t       = {National conferences},\n}\n\n\n\n
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\n \n\n \n \n \n \n \n Démélange d'images TEP dynamiques.\n \n \n \n\n\n \n Cavalcanti, Y. C.; Oberlin, T.; Dobigeon, N.; Stute, S.; and Tauber, C.\n\n\n \n\n\n\n In Actes du XXVIième Colloque GRETSI, Juan-les-Pins, France, 2017. \n in french\n\n\n\n
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@Inproceedings{Cavalcanti_GRETSI_2017,\n  author       = {Y. Cruz Cavalcanti and Th. Oberlin and N. Dobigeon and S. Stute and C. Tauber},\n  title        = {D\\'em\\'elange d'images {TEP} dynamiques},\n  booktitle    = {Actes du XXVIi\\`eme Colloque GRETSI},\n  year         = {2017},\n  address      = {Juan-les-Pins, France},\n  note         = {in french},\n  type\t       = {National conferences},\n}\n\n\n\n
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\n \n\n \n \n \n \n \n Détection de changements par fusion robuste d'images multi-bandes de résolutions spatiale et spectrale différentes.\n \n \n \n\n\n \n Ferraris, V.; Dobigeon, N.; Wei, Q.; and Chabert, M.\n\n\n \n\n\n\n In Actes du XXVIième Colloque GRETSI, Juan-les-Pins, France, 2017. \n in french\n\n\n\n
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@Inproceedings{Ferraris_GRETSI_2017,\n  author       = {V. Ferraris and N. Dobigeon and Q. Wei and M. Chabert},\n  title        = {D\\'etection de changements par fusion robuste d'images multi-bandes de r\\'esolutions spatiale et spectrale diff\\'erentes},\n  booktitle    = {Actes du XXVIi\\`eme Colloque GRETSI},\n  year         = {2017},\n  address      = {Juan-les-Pins, France},\n  note         = {in french},\n  type\t       = {National conferences},\n}\n\n\n\n
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\n \n\n \n \n \n \n \n Une formulation bayésienne du codage antiparcimonieux.\n \n \n \n\n\n \n Elvira, C.; Chainais, P.; and Dobigeon, N.\n\n\n \n\n\n\n In Actes du XXVIième Colloque GRETSI, Juan-les-Pins, France, 2017. \n in french\n\n\n\n
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@Inproceedings{Elvira_GRETSI_2017,\n  author       = {C. Elvira and P. Chainais and N. Dobigeon},\n  title        = {Une formulation bay\\'esienne du codage antiparcimonieux},\n  booktitle    = {Actes du XXVIi\\`eme Colloque GRETSI},\n  year         = {2017},\n  address      = {Juan-les-Pins, France},\n  note         = {in french},\n  type\t       = {National conferences},\n}\n\n\n\n
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\n \n\n \n \n \n \n \n Une approche distribuée asynchrone pour la factorisation en matrices non-négatives – Application au démélange hyperspectral.\n \n \n \n\n\n \n Thouvenin, P.; Dobigeon, N.; and Tourneret, J.\n\n\n \n\n\n\n In Actes du XXVIième Colloque GRETSI, Juan-les-Pins, France, 2017. \n in french\n\n\n\n
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@Inproceedings{Thouvenin_GRETSI_2017,\n  author       = {P.-A. Thouvenin and N. Dobigeon and J.-Y. Tourneret},\n  title        = {Une approche distribu\\'ee asynchrone pour la factorisation en matrices non-n\\'egatives -- Application au d\\'em\\'elange hyperspectral},\n  booktitle    = {Actes du XXVIi\\`eme Colloque GRETSI},\n  year         = {2017},\n  address      = {Juan-les-Pins, France},\n  note         = {in french},\n  type\t       = {National conferences},\n}\n\n\n\n
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\n  \n 2015\n \n \n (2)\n \n \n
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\n \n\n \n \n \n \n \n Estimation de variabilité pour le démélange non-supervisé d'images hyperspectrales.\n \n \n \n\n\n \n Thouvenin, P.; Dobigeon, N.; and Tourneret, J.\n\n\n \n\n\n\n In Actes du XXVième Colloque GRETSI, Lyon, France, 2015. \n in french\n\n\n\n
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@Inproceedings{Thouvenin_GRETSI_2015,\n  author       = {P.-A. Thouvenin and N. Dobigeon and J.-Y. Tourneret},\n  title        = {Estimation de variabilit\\'e pour le d\\'em\\'elange non-supervis\\'e d'images hyperspectrales},\n  booktitle    = {Actes du XXVi\\`eme Colloque GRETSI},\n  year         = {2015},\n  address      = {Lyon, France},\n  note         = {in french},\n  type\t       = {National conferences},\n}\n\n\n\n
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\n \n\n \n \n \n \n \n Estimation bayśienne locale du paramètre de multifractalité à l'aide d'un algorithme de Monte Carlo Hamiltonien.\n \n \n \n\n\n \n Combrexelle, S.; Wendt, H.; Tourneret, J.; Dobigeon, N.; McLaughlin, S.; and Abry, P.\n\n\n \n\n\n\n In Actes du XXVième Colloque GRETSI, Lyon, France, 2015. \n in french\n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Inproceedings{Combrexelle_GRETSI_2015,\n  author       = {S. Combrexelle and H. Wendt and J.-Y. Tourneret and N. Dobigeon  and S. McLaughlin and P. Abry},\n  title        = {Estimation bay\\'sienne locale du param\\`etre de multifractalit\\'e \\`a l'aide d'un algorithme de {M}onte {C}arlo Hamiltonien},\n  booktitle    = {Actes du XXVi\\`eme Colloque GRETSI},\n  year         = {2015},\n  address      = {Lyon, France},\n  note         = {in french},\n  type\t       = {National conferences},\n}\n\n\n\n
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\n  \n 2013\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n Estimation bayésienne du paramètre de multifractalité.\n \n \n \n\n\n \n Wendt, H.; Dobigeon, N.; Tourneret, J.; and Abry, P.\n\n\n \n\n\n\n In Actes du XXIVième Colloque GRETSI, Brest, France, Sept. 2013. \n in french\n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Inproceedings{Wendt_GRETSI_2013,\n  author       = {H. Wendt and N. Dobigeon and J.-Y. Tourneret and P. Abry},\n  title        = {Estimation bay\\'esienne du param\\`etre de multifractalit\\'e},\n  booktitle    = {Actes du XXIVi\\`eme Colloque GRETSI},\n  year         = {2013},\n  month        = {Sept.},\n  address      = {Brest, France},\n  note         = {in french},\n  type\t       = {National conferences},  \n}\n\n\n\n
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\n  \n 2012\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n Un modèle Bayésien de mélange de lois Poisson-Gamma pour segmenter des images TEP.\n \n \n \n\n\n \n Irace, Z.; Pereyra, M.; Dobigeon, N.; and Batatia, H.\n\n\n \n\n\n\n In Actes de la Conférence Reconnaissance des Formes et Intelligence Artificielle (RFIA), Lyon, France, Jan. 2012. \n in french\n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Inproceedings{Irace_RFIA_2012,\n  author       = {Z. Irace and M. Pereyra and N. Dobigeon and H. Batatia},\n  title        = {Un mod\\`ele Bay\\'esien de m\\'elange de lois {P}oisson-{G}amma pour segmenter des images {TEP}},\n  booktitle    = {Actes de la Conf\\'erence Reconnaissance des Formes et Intelligence Artificielle (RFIA)},\n  year         = {2012},\n  month        = {Jan.},\n  address      = {Lyon, France},\n  note         = {in french},\n  type\t       = {National conferences},\n}\n\n\n\n
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\n  \n 2011\n \n \n (5)\n \n \n
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\n \n\n \n \n \n \n \n Un modèle de mélange de lois Rayleigh généralisées pour la classification des échographies cutanées.\n \n \n \n\n\n \n Pereyra, M.; Dobigeon, N.; Batatia, H.; and Tourneret, J.\n\n\n \n\n\n\n In Actes du XXIIIième Colloque GRETSI, Bordeaux, France, Sept. 2011. \n in french\n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Inproceedings{Pereyra_GRETSI_2011,\n  author       = {M. Pereyra and N. Dobigeon and H. Batatia and J.-Y. Tourneret},\n  title        = {Un mod\\`ele de m\\'elange de lois {R}ayleigh g\\'en\\'eralis\\'ees pour la classification des \\'echographies cutan\\'ees},\n  booktitle    = {Actes du XXIIIi\\`eme Colloque GRETSI},\n  year         = {2011},\n  month        = {Sept.},\n  address      = {Bordeaux, France},\n  note         = {in french},\n  type\t       = {National conferences},\n}\n\n\n\n
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\n \n\n \n \n \n \n \n Démélange non linéaire d'images hyperspectrales à l'aide de fonctions radiales de base et de moindres carrés orthogonaux.\n \n \n \n\n\n \n Altmann, Y.; Dobigeon, N.; McLaughlin, S.; and Tourneret, J.\n\n\n \n\n\n\n In Actes du XXIIIième Colloque GRETSI, Bordeaux, France, Sept. 2011. \n in french\n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Inproceedings{Altmann_GRETSI_2011,\n  author       = {Y. Altmann and N. Dobigeon and S. McLaughlin and J.-Y. Tourneret},\n  title        = {D\\'em\\'elange non lin\\'eaire d'images hyperspectrales \\`a l'aide de fonctions radiales de base et de moindres carr\\'es orthogonaux},\n  booktitle    = {Actes du XXIIIi\\`eme Colloque GRETSI},\n  year         = {2011},\n  month        = {Sept.},\n  address      = {Bordeaux, France},\n  note         = {in french},\n  type\t       = {National conferences},\n}\n\n\n\n
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\n \n\n \n \n \n \n \n Méthodes variationnelles pour le démélange d'images hyperspectrales.\n \n \n \n\n\n \n Eches, O.; Dobigeon, N.; Tourneret, J.; and Snoussi, H.\n\n\n \n\n\n\n In Actes du XXIIIième Colloque GRETSI, Bordeaux, France, Sept. 2011. \n in french\n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Inproceedings{Eches_GRETSI_2011,\n  author       = {O. Eches and N. Dobigeon and J.-Y. Tourneret and H. Snoussi},\n  title        = {M\\'ethodes variationnelles pour le d\\'em\\'elange d'images hyperspectrales},\n  booktitle    = {Actes du XXIIIi\\`eme Colloque GRETSI},\n  year         = {2011},\n  month        = {Sept.},\n  address      = {Bordeaux, France},\n  note         = {in french},\n  type\t       = {National conferences},\n}\n\n\n\n
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\n \n\n \n \n \n \n \n Echantillonnage compressé Bayésien en imagerie ultrasonore.\n \n \n \n\n\n \n Quinsac, C.; Dobigeon, N.; Basarab, A.; Tourneret, J.; and Kouamé, D.\n\n\n \n\n\n\n In Actes du XXIIIième Colloque GRETSI, Bordeaux, France, Sept. 2011. \n in french\n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Inproceedings{Quinsac_GRETSI_2011,\n  author       = {C. Quinsac and N. Dobigeon and A. Basarab and J.-Y. Tourneret and D. Kouam\\'e},\n  title        = {Echantillonnage compress\\'e Bay\\'esien en imagerie ultrasonore},\n  booktitle    = {Actes du XXIIIi\\`eme Colloque GRETSI},\n  year         = {2011},\n  month        = {Sept.},\n  address      = {Bordeaux, France},\n  note         = {in french},\n  type\t       = {National conferences},\n}\n\n\n\n
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\n \n\n \n \n \n \n \n Modèle Bernoulli-Gaussien pour l'analyse génétique.\n \n \n \n\n\n \n Bazot, C.; Dobigeon, N.; Tourneret, J.; and Hero, A. O.\n\n\n \n\n\n\n In Actes du XXIIIième Colloque GRETSI, Bordeaux, France, Sept. 2011. \n in french\n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Inproceedings{Bazot_GRETSI_2011,\n  author       = {C. Bazot and N. Dobigeon and J.-Y. Tourneret and A. O. Hero},\n  title        = {Mod\\`ele Bernoulli-Gaussien pour l'analyse g\\'en\\'etique},\n  booktitle    = {Actes du XXIIIi\\`eme Colloque GRETSI},\n  year         = {2011},\n  month        = {Sept.},\n  address      = {Bordeaux, France},\n  note         = {in french},\n  type\t       = {National conferences},\n}\n\n\n\n
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\n  \n 2009\n \n \n (3)\n \n \n
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\n \n\n \n \n \n \n \n Reconstruction bayésienne images MRFM parcimonieuses.\n \n \n \n\n\n \n Dobigeon, N.; Hero, A. O.; and Tourneret, J.\n\n\n \n\n\n\n In Actes du XXIIième Colloque GRETSI, Dijon, France, Sept. 2009. \n in french\n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Inproceedings{Dobigeon_GRETSI_2009b,\n  author       = {N. Dobigeon and A. O. Hero and J.-Y. Tourneret},\n  title        = {Reconstruction bay\\'esienne images {MRFM} parcimonieuses},\n  booktitle    = {Actes du XXIIi\\`eme Colloque GRETSI},\n  year         = {2009},\n  month        = {Sept.},\n  address      = {Dijon, France},\n  note         = {in french},\n  type\t       = {National conferences},\n}\n\n\n\n
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\n \n\n \n \n \n \n \n Extraction de composants purs et démélange linéaire bayésiens en imagerie hyperspectrale.\n \n \n \n\n\n \n Dobigeon, N.; Moussaoui, S.; Coulon, M.; and Tourneret, J.\n\n\n \n\n\n\n In Actes du XXIIième Colloque GRETSI, Dijon, France, Sept. 2009. \n in french\n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Inproceedings{Dobigeon_GRETSI_2009a,\n  author       = {N. Dobigeon and S. Moussaoui and M. Coulon and J.-Y. Tourneret},\n  title        = {Extraction de composants purs et d\\'em\\'elange lin\\'eaire bay\\'esiens en imagerie hyperspectrale},\n  booktitle    = {Actes du XXIIi\\`eme Colloque GRETSI},\n  year         = {2009},\n  month        = {Sept.},\n  address      = {Dijon, France},\n  note         = {in french},\n  type\t       = {National conferences},\n}\n\n\n\n
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\n \n\n \n \n \n \n \n Analyse d'images hyperspectrales à l'aide d'un modèle de mélange de spectres aléatoires.\n \n \n \n\n\n \n Eches, O.; Dobigeon, N.; and Tourneret, J.\n\n\n \n\n\n\n In Actes du XXIIième Colloque GRETSI, Dijon, France, Sept. 2009. \n in french\n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Inproceedings{Eches_GRETSI_2009,\n  author       = {O. Eches and N. Dobigeon and J.-Y. Tourneret},\n  title        = {Analyse d'images hyperspectrales \\`{a} l'aide d'un mod\\`ele de m\\'elange de spectres al\\'eatoires},\n  booktitle    = {Actes du XXIIi\\`eme Colloque GRETSI},\n  year         = {2009},\n  month        = {Sept.},\n  address      = {Dijon, France},\n  note         = {in french},\n  type\t       = {National conferences},\n}\n\n\n\n
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\n  \n 2007\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n Séparation Bayésienne de sources spectrales sous contraintes de positivité et d'additivité.\n \n \n \n\n\n \n Dobigeon, N.; Moussaoui, S.; and Tourneret, J.\n\n\n \n\n\n\n In Actes du XXIième Colloque GRETSI, Troyes, France, Sept. 2007. \n in french\n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Inproceedings{Dobigeon_GRETSI_2007,\n  author       = {N. Dobigeon and S. Moussaoui and J.-Y. Tourneret},\n  title        = {S\\'eparation Bay\\'esienne de sources spectrales sous contraintes de positivit\\'e et d'additivit\\'e},\n  booktitle    = {Actes du XXIi\\`eme Colloque GRETSI},\n  year         = {2007},\n  month        = {Sept.},\n  address      = {Troyes, France},\n  note         = {in french},\n  type\t       = {National conferences},\n}\n\n\n\n
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\n  \n 2005\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n Segmentation conjointe de données poissonniennes.\n \n \n \n\n\n \n Dobigeon, N.; and Tourneret, J.\n\n\n \n\n\n\n In Actes du XXième Colloque GRETSI, volume 1, pages 105–108, Louvain-la-Neuve, Belgium, Sept. 2005. \n in french\n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Inproceedings{Dobigeon_GRETSI_2005,\n  author       = {N. Dobigeon and J.-Y. Tourneret},\n  title        = {Segmentation conjointe de donn\\'ees poissonniennes},\n  booktitle    = {Actes du XXi\\`eme Colloque GRETSI},\n  volume       = {1},\n  year         = {2005},\n  month        = {Sept.},\n  address      = {Louvain-la-Neuve, Belgium},\n  note         = {in french},\n  type\t       = {National conferences},\n  pages        = {105--108},\n}\n\n\n\n%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n%%            Patents             %%\n%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n\n
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\n  \n 2023\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Arqueo 2.0: New methods for archaeological surveys in mountain areas .\n \n \n \n \n\n\n \n Calastrenc, C.; Baleux, F.; Poirier, N.; Rendu, C.; Campmajo, P.; Dobigeon, N.; Mellado, N.; Marais-Sicre, C.; Bal, M.; Philippe, M.; and Llubes, M.\n\n\n \n\n\n\n Treballs d'Arqueologia, 26(6): 95–109. Dec. 2023.\n \n\n\n\n
\n\n\n\n \n \n \"ArqueoPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Article{Calastrenc_Treballs_2023,\n  author       = {C. Calastrenc and F. Baleux and N. Poirier and Ch. Rendu and P. Campmajo and N. Dobigeon and N. Mellado and C. Marais-Sicre and \n\t\t\t\t  M.-C. Bal and M. Philippe and M. Llubes},\n  title        = {Arqueo 2.0: New methods for archaeological surveys in mountain areas },\n  journal      = {Treballs d'Arqueologia},\n  year         = 2023,\n  month        = {Dec.},\n  volume       = {26},\n  number       = {6},\n  pages        = {95--109},\n  url          = {https://revistes.uab.cat/treballsarqueologia/article/view/v26-calastrenc-et-al/153-pdf-es},\n  type\t\t   = {National journals},  \n}\n\n\n
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\n  \n 2010\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Algorithmes bayésiens pour le démélange supervisé, semi-supervisé et non-supervisé images hyperspectrales.\n \n \n \n \n\n\n \n Dobigeon, N.; Moussaoui, S.; Coulon, M.; Tourneret, J.; and Hero, A. O.\n\n\n \n\n\n\n Traitement du signal, 27(1): 79–108. Aug. 2010.\n invited paper\n\n\n\n
\n\n\n\n \n \n \"AlgorithmesPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Article{Dobigeon_TS_2010,\n  author       = {N. Dobigeon and S. Moussaoui and M. Coulon and J.-Y. Tourneret and A. O. Hero},\n  title        = {Algorithmes bay\\'esiens pour le d\\'em\\'elange supervis\\'e, semi-supervis\\'e et non-supervis\\'e&nbsp;images hyperspectrales},\n  journal      = {Traitement du signal},\n  year         = 2010,\n  month        = {Aug.},\n  volume       = {27},\n  number       = {1},\n  pages        = {79--108},\n  url          = {http://ts.revuesonline.com/article.jsp?articleId=15215},\n  note         = {invited paper},\n  type\t\t   = {National journals},  \n}\n\n\n\n%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n%%         Book chapters          %%\n%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n\n
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\n \n\n \n \n \n \n \n Procédé de détection et/ou de correction automatique d'erreurs dans un flux de données multiplexées.\n \n \n \n\n\n \n Wendt, H.; Dobigeon, N.; and Tourneret, J.\n\n\n \n\n\n\n Dec. 2014.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Patent{Wendt_Patent_2014,\n  author       = {H. Wendt and N. Dobigeon and J.-Y. Tourneret},\n  title        = {Proc\\'ed\\'e de d\\'etection et/ou de correction automatique d'erreurs dans un flux de donn\\'ees multiplex\\'ees},\n  nationality  = {French},\n  month        = {Dec.},\n  year         = {2014},\n  number       = {3007232 (A1)},\n  assignee     = {Centre Nationale d'\\'Etudes Spatiales},\n  type\t\t   = {Patents},  \n}\n\n\n\n%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n%%            Theses              %%\n%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n\n
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\n \n\n \n \n \n \n \n \n Fast spectral unmixing based on Dykstra's alternating projection.\n \n \n \n \n\n\n \n Wei, Q.; Bioucas-Dias, J. M.; Dobigeon, N.; and Tourneret, J.\n\n\n \n\n\n\n 2015.\n \n\n\n\n
\n\n\n\n \n \n \"FastPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@misc{Wei_arXiv_2015,\n  author       = {Q. Wei and J. M. {Bioucas-Dias} and N. Dobigeon and J.-Y. Tourneret},\n  title        = {Fast spectral unmixing based on {D}ykstra's alternating projection},\n  journal      = {ArXiv deposit},\n  year         = 2015,\n  url          = {http://arxiv.org/abs/1505.01740/},\n  type\t\t   = {Rejected papers},     \n}\n\n\n\n
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\n \n\n \n \n \n \n \n \n A normalized scaled gradient method to solve non-negativity and equality constrained linear inverse problem – Application to spectral mixture analysis.\n \n \n \n \n\n\n \n Theys, C.; Lantéri, H.; Richard, C.; Dobigeon, N.; Tourneret, J.; and Ferrari, A.\n\n\n \n\n\n\n 2013.\n \n\n\n\n
\n\n\n\n \n \n \"APaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@misc{Theys_arXiv_2013,\n  author       = {C. Theys and H. Lant\\'eri and C. Richard and N. Dobigeon and J.-Y. Tourneret and A. Ferrari},\n  title        = {A normalized scaled gradient method to solve non-negativity and equality constrained linear inverse problem --  Application to spectral mixture analysis},\n  journal      = {ArXiv deposit},\n  year         = 2013,\n  url          = {http://arxiv.org/abs/1310.0676/},\n  type\t\t   = {Rejected papers},     \n}\n\n\n\n\n
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\n  \n 2009\n \n \n (1)\n \n \n
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\n \n \n
\n \n\n \n \n \n \n \n Sparse reconstruction of molecular images: the MRFM challenge.\n \n \n \n\n\n \n Dobigeon, N.; Hero, A. O.; Tourneret, J.; and Rugar, D.\n\n\n \n\n\n\n 2009.\n submitted as a white paper to the Special Issue on Medical Imaging\n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@misc{Dobigeon_IEEE_SP_Mag_2009,\n  author       = {N. Dobigeon and A. O. Hero and J.-Y. Tourneret and D. Rugar},\n  title        = {Sparse reconstruction of molecular images: the {MRFM} challenge},\n  journal      = {IEEE Signal Processing Magazine},\n  year         = 2009,\n  note         = {submitted as a white paper to the Special Issue on Medical Imaging},\n  type\t\t   = {Rejected papers},     \n}\n\n\n\n\n\n
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\n  \n Submitted papers\n \n \n (1)\n \n \n
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\n  \n submitted\n \n \n (3)\n \n \n
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\n \n \n
\n \n\n \n \n \n \n \n \n Regularization by denoising: Bayesian model and Langevin-within-split Gibbs sampling.\n \n \n \n \n\n\n \n Faye, E. C.; Fall, M. D.; and Dobigeon, N.\n\n\n \n\n\n\n . submitted.\n \n\n\n\n
\n\n\n\n \n \n \"RegularizationPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@Article{Faye_2024sub,\n  author       = {E. C. Faye and M. D. Fall and N. Dobigeon},\n  title        = {Regularization by denoising: {B}ayesian model and {L}angevin-within-split {G}ibbs sampling}, \n  year         = {submitted},\n  url          = {https://arxiv.org/abs/2402.12292/}, \n  type\t\t   = {Submitted papers},    \n}\n\n\n
\n
\n\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n \n Normalizing flow sampling with Langevin dynamics in the latent space.\n \n \n \n \n\n\n \n Coeurdoux, F.; Dobigeon, N.; and Chainais, P.\n\n\n \n\n\n\n . submitted.\n \n\n\n\n
\n\n\n\n \n \n \"NormalizingPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@Article{Coeurdoux_2023bsub,\n  author       = {F. Coeurdoux and N. Dobigeon and P. Chainais},\n  title        = {Normalizing flow sampling with {L}angevin dynamics in the latent space},\n  year         = {submitted},\n  url          = {https://arxiv.org/abs/2305.12149/},\n  type\t\t   = {Submitted papers},    \n}\n\n\n
\n
\n\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n \n Bayesian nonparametric principal component analysis.\n \n \n \n \n\n\n \n Elvira, C.; Chainais, P.; and Dobigeon, N.\n\n\n \n\n\n\n . submitted.\n \n\n\n\n
\n\n\n\n \n \n \"BayesianPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@Article{Elvira_2017sub,\n  author       = {C. Elvira and P. Chainais and N. Dobigeon},\n  title        = {{B}ayesian nonparametric principal component analysis},\n  year         = {submitted},\n  url          = {http://arxiv.org/abs/1709.05667/},\n  type\t\t   = {Submitted papers},  \n}\n\n\n%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n%%       Int. Journal papers      %%\n%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n\n
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\n  \n Technical reports\n \n \n (16)\n \n \n
\n
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\n
\n  \n 2022\n \n \n (1)\n \n \n
\n
\n \n \n
\n \n\n \n \n \n \n \n \n Weighted Residual NMF with Spatial Regularization for Hyperspectral Unmixing – Complementary results and supplementary materials.\n \n \n \n \n\n\n \n Ince, T.; and Dobigeon, N.\n\n\n \n\n\n\n Technical Report University of Toulouse, IRIT/INP-ENSEEIHT, France, May 2022.\n \n\n\n\n
\n\n\n\n \n \n \"WeightedPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@techreport{Ince_TechReport_2022,\n  author       = {T. Ince and N. Dobigeon},\n  title        = {Weighted Residual {NMF} with Spatial Regularization for Hyperspectral Unmixing -- {C}omplementary results and supplementary materials},\n  institution  = {University of Toulouse, IRIT/INP-ENSEEIHT},\n  address      = {France},\n  month        = {May},\n  year         = {2022}, \n  url          = {http://dobigeon.perso.enseeiht.fr/papers/Ince_TechReport_2022.pdf},\n  type\t\t   = {Technical reports}  \n}\n\n\n
\n
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\n
\n  \n 2020\n \n \n (3)\n \n \n
\n
\n \n \n
\n \n\n \n \n \n \n \n \n Supplementary materials: Hierarchical sparse nonnegative matrix factorization for hyperspectral unmixing with spectral variability.\n \n \n \n \n\n\n \n Uezato, T.; Fauvel, M.; and Dobigeon, N.\n\n\n \n\n\n\n Technical Report University of Toulouse, IRIT/INP-ENSEEIHT, France, July 2020.\n \n\n\n\n
\n\n\n\n \n \n \"SupplementaryPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@techreport{Uezato_TechReport_2020,\n  author       = {T. Uezato and M. Fauvel and N. Dobigeon},\n  title        = {Supplementary materials: {H}ierarchical sparse nonnegative matrix factorization for hyperspectral unmixing with spectral variability},\n  institution  = {University of Toulouse, IRIT/INP-ENSEEIHT},\n  address      = {France},\n  month        = {July},\n  year         = {2020}, \n  url          = {http://dobigeon.perso.enseeiht.fr/papers/Uezato_TechReport_2020.pdf},\n  type\t\t   = {Technical reports}  \n}\n\n\n
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\n \n\n \n \n \n \n \n \n Robust fusion algorithms for unsupervised change detection between multi-band optical images – A comprehensive case study – Complementary results.\n \n \n \n \n\n\n \n Ferraris, V.; Dobigeon, N.; and Chabert, M.\n\n\n \n\n\n\n Technical Report University of Toulouse, IRIT/INP-ENSEEIHT, France, June 2020.\n \n\n\n\n
\n\n\n\n \n \n \"RobustPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@techreport{Ferraris_TechReport_2020,\n  author       = {V. Ferraris and N. Dobigeon and M. Chabert},\n  title        = {Robust fusion algorithms for unsupervised change detection between multi-band optical images -- {A} comprehensive case study -- {C}omplementary results},\n  institution  = {University of Toulouse, IRIT/INP-ENSEEIHT},\n  address      = {France},\n  month        = {June},\n  year         = {2020}, \n  url          = {http://dobigeon.perso.enseeiht.fr/papers/Ferraris_TechReport_2020.pdf},\n  type\t\t   = {Technical reports}  \n}\n\n\n
\n
\n\n\n\n
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\n \n\n \n \n \n \n \n \n Fast reconstruction of atomic-scale STEM-EELS images from sparse sampling – Complementary results.\n \n \n \n \n\n\n \n Monier, E.; Oberlin, T.; Brun, N.; Tencé, M.; Li, X.; and Dobigeon, N.\n\n\n \n\n\n\n Technical Report University of Toulouse, IRIT/INP-ENSEEIHT, France, Feb. 2020.\n \n\n\n\n
\n\n\n\n \n \n \"FastPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@techreport{Monier_TechReport_2020,\n  author       = {E. Monier and Th. Oberlin and N. Brun and M. Tenc\\'e and X. Li and N. Dobigeon},\n  title        = {Fast reconstruction of atomic-scale {STEM-EELS} images from sparse sampling -- {C}omplementary results},\n  institution  = {University of Toulouse, IRIT/INP-ENSEEIHT},\n  address      = {France},\n  month        = {Feb.},\n  year         = {2020}, \n  url          = {http://dobigeon.perso.enseeiht.fr/papers/Monier_TechReport_2020.pdf},\n  type\t\t   = {Technical reports}\n}\n\n\n
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\n  \n 2019\n \n \n (1)\n \n \n
\n
\n \n \n
\n \n\n \n \n \n \n \n \n Matrix cofactorization for joint representation learning and supervised classification – Application to hyperspectral image analysis – Complementary results.\n \n \n \n \n\n\n \n Lagrange, A.; Fauvel, M.; May, S.; Bioucas-Dias, J.; and Dobigeon, N.\n\n\n \n\n\n\n Technical Report University of Toulouse, IRIT/INP-ENSEEIHT, France, Oct. 2019.\n \n\n\n\n
\n\n\n\n \n \n \"MatrixPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@techreport{Lagrange_TechReport_2019,\n  author       = {A. Lagrange and M. Fauvel and S. May and J. Bioucas-Dias and N. Dobigeon},\n  title        = {Matrix cofactorization for joint representation learning and supervised classification -- {A}pplication to hyperspectral image analysis -- {C}omplementary results},\n  institution  = {University of Toulouse, IRIT/INP-ENSEEIHT},\n  address      = {France},\n  month        = {Oct.},\n  year         = {2019}, \n  url          = {http://dobigeon.perso.enseeiht.fr/papers/Lagrange_TechReport_2019.pdf},\n  type\t\t   = {Technical reports}  \n}\n\n\n
\n
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\n\n\n\n\n\n
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\n
\n  \n 2018\n \n \n (2)\n \n \n
\n
\n \n \n
\n \n\n \n \n \n \n \n \n Factor analysis of dynamic PET images: beyond Gaussian noise – Complementary results and supporting materials.\n \n \n \n \n\n\n \n Cavalcanti, Y. C.; Oberlin, T.; Dobigeon, N.; Stute, S.; Ribeiro, M.; and Tauber, C.\n\n\n \n\n\n\n Technical Report University of Toulouse, IRIT/INP-ENSEEIHT, France, Dec. 2018.\n \n\n\n\n
\n\n\n\n \n \n \"FactorPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@techreport{Cavalcanti_TechReport_2018,\n  author       = {Y. Cruz Cavalcanti and Th. Oberlin and N. Dobigeon and S. Stute and M. Ribeiro and C. Tauber},\n  title        = {Factor analysis of dynamic {PET} images: beyond {G}aussian noise -- Complementary results and supporting materials},\n  institution  = {University of Toulouse, IRIT/INP-ENSEEIHT},\n  address      = {France},\n  month        = {Dec.},\n  year         = 2018,\n  url          = {http://dobigeon.perso.enseeiht.fr/papers/Cavalcanti_TechReport_2018.pdf},\n  type\t\t   = {Technical reports},     \n}\n\n\n\n
\n
\n\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n \n Hyperspectral unmixing with spectral variability using adaptive bundles and double sparsity – Complementary results.\n \n \n \n \n\n\n \n Uezato, T.; Fauvel, M.; May, S.; and Dobigeon, N.\n\n\n \n\n\n\n Technical Report University of Toulouse, IRIT/INP-ENSEEIHT, France, Apr. 2018.\n \n\n\n\n
\n\n\n\n \n \n \"HyperspectralPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@techreport{Uezato_TechReport_2018b,\n  author       = {T. Uezato and M. Fauvel and S. May and N. Dobigeon},\n  title        = {Hyperspectral unmixing with spectral variability using adaptive bundles and double sparsity -- {C}omplementary results},\n  institution  = {University of Toulouse, IRIT/INP-ENSEEIHT},\n  address      = {France},\n  month        = {Apr.},\n  year         = 2018,\n  url          = {http://dobigeon.perso.enseeiht.fr/papers/Uezato_TechReport_2018b.pdf},\n  type\t\t   = {Technical reports},     \n}\n\n\n\n\n
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\n  \n 2017\n \n \n (3)\n \n \n
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\n \n \n
\n \n\n \n \n \n \n \n \n Hyperspectral image unmixing with LiDAR data-aided spatial regularization – Complementary results.\n \n \n \n \n\n\n \n Uezato, T.; Fauvel, M.; May, S.; and Dobigeon, N.\n\n\n \n\n\n\n Technical Report University of Toulouse, IRIT/INP-ENSEEIHT, France, Dec. 2017.\n \n\n\n\n
\n\n\n\n \n \n \"HyperspectralPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@techreport{Uezato_TechReport_2017,\n  author       = {T. Uezato and M. Fauvel and S. May and N. Dobigeon},\n  title        = {Hyperspectral image unmixing with {LiDAR} data-aided spatial regularization -- {C}omplementary results},\n  institution  = {University of Toulouse, IRIT/INP-ENSEEIHT},\n  address      = {France},\n  month        = {Dec.},\n  year         = 2017,\n  url          = {http://dobigeon.perso.enseeiht.fr/papers/Uezato_TechReport_2017.pdf},\n  type\t\t   = {Technical reports},     \n}\n\n\n\n\n
\n
\n\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n \n Unmixing dynamic PET images with variable specific binding kinetics – Supporting materials.\n \n \n \n \n\n\n \n Cavalcanti, Y. C.; Oberlin, T.; Dobigeon, N.; Stute, S.; Ribeiro, M.; and Tauber, C.\n\n\n \n\n\n\n Technical Report University of Toulouse, IRIT/INP-ENSEEIHT, France, Dec. 2017.\n \n\n\n\n
\n\n\n\n \n \n \"UnmixingPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@techreport{Cavalcanti_TechReport_2017,\n  author       = {Y. Cruz Cavalcanti and Th. Oberlin and N. Dobigeon and S. Stute and M. Ribeiro and C. Tauber},\n  title        = {Unmixing dynamic {PET} images with variable specific binding kinetics -- {S}upporting materials},\n  institution  = {University of Toulouse, IRIT/INP-ENSEEIHT},\n  address      = {France},\n  month        = {Dec.},\n  year         = 2017,\n  url          = {http://dobigeon.perso.enseeiht.fr/papers/Cavalcanti_TechReport_2017.pdf},\n  type\t\t   = {Technical reports},     \n}\n\n\n\n\n
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\n \n\n \n \n \n \n \n \n A hierarchical Bayesian model accounting for endmember variability and abrupt spectral changes to unmix multitemporal hyperspectral images – Complementary results and supporting materials.\n \n \n \n \n\n\n \n Thouvenin, P.; Dobigeon, N.; and Tourneret, J.\n\n\n \n\n\n\n Technical Report University of Toulouse, IRIT/INP-ENSEEIHT, France, May 2017.\n \n\n\n\n
\n\n\n\n \n \n \"APaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@techreport{Thouvenin_TechReport_2017,\n  author       = {P.-A. Thouvenin and N. Dobigeon and J.-Y. Tourneret},\n  title        = {A hierarchical {B}ayesian model accounting for endmember variability and abrupt spectral changes to unmix multitemporal hyperspectral images --\n                  {C}omplementary results and supporting materials},\n  institution  = {University of Toulouse, IRIT/INP-ENSEEIHT},\n  address      = {France},\n  month        = {May},\n  year         = 2017,\n  url          = {http://dobigeon.perso.enseeiht.fr/papers/Thouvenin_TechReport_2017.pdf},\n  type\t\t   = {Technical reports},     \n}\n\n\n\n\n
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\n  \n 2016\n \n \n (3)\n \n \n
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\n \n \n
\n \n\n \n \n \n \n \n \n Detecting changes between optical images of different spatial and spectral resolutions: a fusion-based approach – Complementary results.\n \n \n \n \n\n\n \n Ferraris, V.; Dobigeon, N.; Wei, Q.; and Chabert, M.\n\n\n \n\n\n\n Technical Report University of Toulouse, IRIT/INP-ENSEEIHT, France, Dec. 2016.\n \n\n\n\n
\n\n\n\n \n \n \"DetectingPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@techreport{Ferraris_TechReport_2016,\n  author       = {V. Ferraris and N. Dobigeon and Q. Wei and M. Chabert},\n  title        = {Detecting changes between optical images of different spatial and spectral resolutions: a fusion-based approach -- {C}omplementary results},\n  institution  = {University of Toulouse, IRIT/INP-ENSEEIHT},\n  address      = {France},\n  month        = {Dec.},\n  year         = 2016,\n  url          = {http://dobigeon.perso.enseeiht.fr/papers/Ferraris_TechReport_2016.pdf},\n  type\t\t   = {Technical reports},     \n}\n\n\n\n\n
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\n \n\n \n \n \n \n \n \n R-FUSE: Robust Fast Fusion of Multi-Band Images Based on Solving a Sylvester Equation – Complementary results and supporting materials.\n \n \n \n \n\n\n \n Wei, Q.; Dobigeon, N.; Tourneret, J.; Bioucas-Dias, J. M.; and Godsill, S.\n\n\n \n\n\n\n Technical Report Department of Engineering, University of Cambridge, Cambridge, U.K., July 2016.\n \n\n\n\n
\n\n\n\n \n \n \"R-FUSE:Paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@techreport{Wei_TechReport_2016,\n  author       = {Q. Wei and N. Dobigeon and J.-Y. Tourneret and J. M. {Bioucas-Dias} and S. Godsill},\n  title        = {{R-FUSE}: Robust Fast Fusion of Multi-Band Images Based on Solving a {S}ylvester Equation --\n                  {C}omplementary results and supporting materials},\n  institution  = {Department of Engineering, University of Cambridge},\n  address      = {Cambridge, U.K.},\n  month        = {July},\n  year         = 2016,\n  url          = {http://dobigeon.perso.enseeiht.fr/papers/Wei_TechReport_2016.pdf},\n  type\t\t   = {Technical reports},     \n}\n\n\n\n\n
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\n \n\n \n \n \n \n \n \n Bayesian anti-sparse coding – Complementary results and supporting materials.\n \n \n \n \n\n\n \n Elvira, C.; Chainais, P.; and Dobigeon, N.\n\n\n \n\n\n\n Technical Report University of Lille, CNRS, CRIStAL and University of Toulouse, IRIT/INP-ENSEEIHT, France, July 2016.\n \n\n\n\n
\n\n\n\n \n \n \"BayesianPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@techreport{Elvira_TechReport_2016,\n  author       = {C. Elvira and P. Chainais and N. Dobigeon},\n  title        = {Bayesian anti-sparse coding -- {C}omplementary results and supporting materials},\n  institution  = {University of Lille, CNRS, CRIStAL and University of Toulouse, IRIT/INP-ENSEEIHT},\n  address      = {France},\n  month        = {July},\n  year         = 2016,\n  url          = {http://dobigeon.perso.enseeiht.fr/papers/Elvira_TechReport_2016.pdf},\n  type\t\t   = {Technical reports},     \n}\n\n\n\n\n
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\n  \n 2015\n \n \n (5)\n \n \n
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\n \n \n
\n \n\n \n \n \n \n \n \n Online unmixing of multitemporal hyperspectral images accounting for spectral variability – Complementary results.\n \n \n \n \n\n\n \n Thouvenin, P.; Dobigeon, N.; and Tourneret, J.\n\n\n \n\n\n\n Technical Report University of Toulouse, IRIT/INP-ENSEEIHT, France, Oct. 2015.\n \n\n\n\n
\n\n\n\n \n \n \"OnlinePaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@techreport{Thouvenin_TechReport_2015,\n  author       = {P.-A. Thouvenin and N. Dobigeon and J.-Y. Tourneret},\n  title        = {Online unmixing of multitemporal hyperspectral images accounting for spectral variability -- {C}omplementary results},\n  institution  = {University of Toulouse, IRIT/INP-ENSEEIHT},\n  address      = {France},\n  month        = {Oct.},\n  year         = 2015,\n  url          = {http://dobigeon.perso.enseeiht.fr/papers/Thouvenin_TechReport_2015.pdf},\n  type\t\t   = {Technical reports},     \n}\n\n\n\n\n
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\n \n\n \n \n \n \n \n \n Detection and Correction of Glitches in a Multiplexed Multi-channel Data Stream – Application to the MADRAS Instrument – Complementary results and supporting materials.\n \n \n \n \n\n\n \n Wendt, H.; Dobigeon, N.; Tourneret, J.; Albinet, M.; Goldstein, C.; and Karouche, N.\n\n\n \n\n\n\n Technical Report University of Toulouse, IRIT/INP-ENSEEIHT, France, Oct. 2015.\n \n\n\n\n
\n\n\n\n \n \n \"DetectionPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@techreport{Wendt_TechReport_2015,\n  title        = {Detection and Correction of Glitches in a Multiplexed Multi-channel Data Stream --\n                  {A}pplication to the {MADRAS} Instrument -- {C}omplementary results and supporting materials},\n  author       = {H. Wendt and N. Dobigeon and J.-Y. Tourneret and M. Albinet and C. Goldstein and N. Karouche},\n  institution  = {University of Toulouse, IRIT/INP-ENSEEIHT},\n  address      = {France},\n  month        = {Oct.},\n  year         = 2015,\n  url          = {http://dobigeon.perso.enseeiht.fr/papers/Wendt_TechReport_2015.pdf},\n  type\t\t   = {Technical reports},     \n}\n\n\n\n\n
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\n \n\n \n \n \n \n \n \n Bayesian fusion of multispectral and hyperspectral images using a block coordinate descent method – Complementary results and supporting materials.\n \n \n \n \n\n\n \n Wei, Q.; Dobigeon, N.; and Tourneret, J.\n\n\n \n\n\n\n Technical Report University of Toulouse, IRIT/INP-ENSEEIHT, France, March 2015.\n \n\n\n\n
\n\n\n\n \n \n \"BayesianPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@techreport{Wei_TechReport_2015c,\n  author       = {Q. Wei and N. Dobigeon and J.-Y. Tourneret},\n  title        = {Bayesian fusion of multispectral and hyperspectral images using a block coordinate descent method --\n                  {C}omplementary results and supporting materials},\n  institution  = {University of Toulouse, IRIT/INP-ENSEEIHT},\n  address      = {France},\n  month        = {March},\n  year         = 2015,\n  url          = {http://dobigeon.perso.enseeiht.fr/papers/Wei_TechReport_2015c.pdf},\n  type\t\t   = {Technical reports},     \n}\n\n\n\n\n
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\n \n\n \n \n \n \n \n \n Fast fusion of multi-band images based on solving a Sylvester equation – Complementary results and supporting materials.\n \n \n \n \n\n\n \n Wei, Q.; Dobigeon, N.; and Tourneret, J.\n\n\n \n\n\n\n Technical Report University of Toulouse, IRIT/INP-ENSEEIHT, France, Feb. 2015.\n \n\n\n\n
\n\n\n\n \n \n \"FastPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@techreport{Wei_TechReport_2015b,\n  author       = {Q. Wei and N. Dobigeon and J.-Y. Tourneret},\n  title        = {Fast fusion of multi-band images based on solving a Sylvester equation --\n                  {C}omplementary results and supporting materials},\n  institution  = {University of Toulouse, IRIT/INP-ENSEEIHT},\n  address      = {France},\n  month        = {Feb.},\n  year         = 2015,\n  url          = {http://dobigeon.perso.enseeiht.fr/papers/Wei_TechReport_2015b.pdf},\n  type\t\t   = {Technical reports},     \n}\n\n\n\n\n
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\n \n\n \n \n \n \n \n \n Bayesian fusion of multi-band images – Complementary results and supporting materials.\n \n \n \n \n\n\n \n Wei, Q.; Dobigeon, N.; and Tourneret, J.\n\n\n \n\n\n\n Technical Report University of Toulouse, IRIT/INP-ENSEEIHT, France, Feb. 2015.\n \n\n\n\n
\n\n\n\n \n \n \"BayesianPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@techreport{Wei_TechReport_2015a,\n  author       = {Q. Wei and N. Dobigeon and J.-Y. Tourneret},\n  title        = {Bayesian fusion of multi-band images -- {C}omplementary results and supporting materials},\n  institution  = {University of Toulouse, IRIT/INP-ENSEEIHT},\n  address      = {France},\n  month        = {Feb.},\n  year         = 2015,\n  url          = {http://dobigeon.perso.enseeiht.fr/papers/Wei_TechReport_2015a.pdf},\n  type\t\t   = {Technical reports},     \n}\n\n\n\n\n
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\n  \n 2014\n \n \n (2)\n \n \n
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\n \n\n \n \n \n \n \n \n Unsupervised unmixing of hyperspectral images accounting for endmember variability - Complementary results and supporting materials.\n \n \n \n \n\n\n \n Halimi, A.; Dobigeon, N.; and Tourneret, J.\n\n\n \n\n\n\n Technical Report University of Toulouse, IRIT/INP-ENSEEIHT, France, Dec. 2014.\n \n\n\n\n
\n\n\n\n \n \n \"UnsupervisedPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@techreport{Halimi_TechReport_2014,\n  author       = {A. Halimi and N. Dobigeon and J.-Y. Tourneret},\n  title        = {Unsupervised unmixing of hyperspectral images accounting for endmember variability - {C}omplementary results and supporting materials},\n  institution  = {University of Toulouse, IRIT/INP-ENSEEIHT},\n  address      = {France},\n  month        = {Dec.},\n  year         = 2014,\n  url          = {http://dobigeon.perso.enseeiht.fr/papers/Halimi_TechReport_2014.pdf},\n  type\t\t   = {Technical reports},     \n}\n\n\n\n\n\n
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\n \n\n \n \n \n \n \n \n Hyperspectral and multispectral image fusion based on a sparse representation.\n \n \n \n \n\n\n \n Wei, Q.; Bioucas-Dias, J. M.; Dobigeon, N.; and Tourneret, J.\n\n\n \n\n\n\n Technical Report University of Toulouse, IRIT/INP-ENSEEIHT, France, Oct. 2014.\n \n\n\n\n
\n\n\n\n \n \n \"HyperspectralPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@techreport{Wei_TechReport_2014,\n  author       = {Q. Wei and J. M. {Bioucas-Dias} and N. Dobigeon and J.-Y. Tourneret},\n  title        = {Hyperspectral and multispectral image fusion based on a sparse representation},\n  institution  = {University of Toulouse, IRIT/INP-ENSEEIHT},\n  address      = {France},\n  month        = {Oct.},\n  year         = 2014,\n  url          = {http://dobigeon.perso.enseeiht.fr/papers/Wei_TechReport_2014.pdf},\n  type\t\t   = {Technical reports},     \n}\n\n\n\n\n
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\n  \n 2013\n \n \n (3)\n \n \n
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\n \n\n \n \n \n \n \n \n Residual component analysis of hyperspectral images - Application to joint nonlinear unmixing and nonlinearity detection.\n \n \n \n \n\n\n \n Altmann, Y.; Dobigeon, N.; McLaughlin, S.; and Tourneret, J.\n\n\n \n\n\n\n Technical Report University of Toulouse, IRIT/INP-ENSEEIHT, France, Nov. 2013.\n \n\n\n\n
\n\n\n\n \n \n \"ResidualPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@techreport{Altmann_TechReport_2013c,\n  author       = {Y. Altmann and N. Dobigeon and S. McLaughlin and J.-Y. Tourneret},\n  title        = {Residual component analysis of hyperspectral images - {A}pplication to joint nonlinear unmixing and nonlinearity detection},\n  institution  = {University of Toulouse, IRIT/INP-ENSEEIHT},\n  address      = {France},\n  month        = {Nov.},\n  year         = 2013,\n  url          = {http://dobigeon.perso.enseeiht.fr/papers/Altmann_TechReport_2013c.pdf},\n  type\t\t   = {Technical reports},     \n}\n\n\n\n\n
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\n \n\n \n \n \n \n \n \n Unsupervised Post-Nonlinear Unmixing of Hyperspectral Images Using a Hamiltonian Monte Carlo Algorithm.\n \n \n \n \n\n\n \n Altmann, Y.; Dobigeon, N.; and Tourneret, J.\n\n\n \n\n\n\n Technical Report University of Toulouse, IRIT/INP-ENSEEIHT, France, Oct. 2013.\n \n\n\n\n
\n\n\n\n \n \n \"UnsupervisedPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@techreport{Altmann_TechReport_2013b,\n  author       = {Y. Altmann and N. Dobigeon and J.-Y. Tourneret},\n  title        = {Unsupervised Post-Nonlinear Unmixing of Hyperspectral Images Using a Hamiltonian Monte Carlo Algorithm},\n  institution  = {University of Toulouse, IRIT/INP-ENSEEIHT},\n  address      = {France},\n  month        = {Oct.},\n  year         = 2013,\n  url          = {http://dobigeon.perso.enseeiht.fr/papers/Altmann_TechReport_2013b.pdf},\n  type\t\t   = {Technical reports},     \n}\n\n\n\n\n
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\n \n\n \n \n \n \n \n \n Bayesian algorithm for unsupervised unmixing of hyperspectral images using a post-nonlinear model.\n \n \n \n \n\n\n \n Altmann, Y.; Dobigeon, N.; and Tourneret, J.\n\n\n \n\n\n\n Technical Report University of Toulouse, IRIT/INP-ENSEEIHT, France, March 2013.\n \n\n\n\n
\n\n\n\n \n \n \"BayesianPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@techreport{Altmann_TechReport_2013,\n  author       = {Y. Altmann and N. Dobigeon and J.-Y. Tourneret},\n  title        = {Bayesian algorithm for unsupervised unmixing of hyperspectral images using a post-nonlinear model},\n  institution  = {University of Toulouse, IRIT/INP-ENSEEIHT},\n  address      = {France},\n  month        = {March},\n  year         = 2013,\n  url          = {http://dobigeon.perso.enseeiht.fr/papers/Altmann_TechReport_2013.pdf},\n  type\t\t   = {Technical reports},     \n}\n\n\n\n\n
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\n  \n 2012\n \n \n (2)\n \n \n
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\n \n\n \n \n \n \n \n \n Nonlinear spectral unmixing of hyperspectral images using Gaussian processes.\n \n \n \n \n\n\n \n Altmann, Y.; Dobigeon, N.; McLaughlin, S.; and Tourneret, J.\n\n\n \n\n\n\n Technical Report University of Toulouse, IRIT/INP-ENSEEIHT, France, Jul. 2012.\n \n\n\n\n
\n\n\n\n \n \n \"NonlinearPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@techreport{Altmann_TechReport_2012,\n  author       = {Y. Altmann and N. Dobigeon and S. McLaughlin and J.-Y. Tourneret},\n  title        = {Nonlinear spectral unmixing of hyperspectral images using {G}aussian processes},\n  institution  = {University of Toulouse, IRIT/INP-ENSEEIHT},\n  address      = {France},\n  month        = {Jul.},\n  year         = 2012,\n  url          = {http://dobigeon.perso.enseeiht.fr/papers/Altmann_TechReport_2012.pdf},\n  type\t\t   = {Technical reports},     \n}\n\n\n\n\n
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\n \n\n \n \n \n \n \n \n Estimating the granularity coefficient of a Potts-Markov random field within an MCMC algorithm.\n \n \n \n \n\n\n \n Pereyra, M.; Dobigeon, N.; Batatia, H.; and Tourneret, J.\n\n\n \n\n\n\n Technical Report University of Toulouse, IRIT/INP-ENSEEIHT, France, Apr. 2012.\n \n\n\n\n
\n\n\n\n \n \n \"EstimatingPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@techreport{Pereyra_TechReport_2012,\n author       = {M. Pereyra and N. Dobigeon and H. Batatia and J.-Y. Tourneret},\n title        = {Estimating the granularity coefficient of a {P}otts-{M}arkov random field within an {MCMC} algorithm},\n institution  = {University of Toulouse, IRIT/INP-ENSEEIHT},\n address      = {France},\n month        = {Apr.},\n year         = 2012,\n url          = {http://dobigeon.perso.enseeiht.fr/papers/Pereyra_TechReport_2012.pdf},\n  type\t\t   = {Technical reports},     \n}\n\n\n\n\n
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\n  \n 2011\n \n \n (7)\n \n \n
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\n \n\n \n \n \n \n \n \n CS decomposition based Bayesian subspace estimation.\n \n \n \n \n\n\n \n Besson, O.; Dobigeon, N.; and Tourneret, J.\n\n\n \n\n\n\n Technical Report University of Toulouse, ISAE & IRIT/INP-ENSEEIHT, France, Jul. 2011.\n \n\n\n\n
\n\n\n\n \n \n \"CSPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@techreport{Besson_TechReport_2012,\n  author       = {O. Besson and N. Dobigeon and J.-Y. Tourneret},\n  title        = {{CS} decomposition based {B}ayesian subspace estimation},\n  institution  = {University of Toulouse, ISAE \\&amp; IRIT/INP-ENSEEIHT},\n  address      = {France},\n  month        = {Jul.},\n  year         = 2011,\n  url          = {http://dobigeon.perso.enseeiht.fr/papers/Besson_TechReport_2012.pdf},\n  type\t\t   = {Technical reports},     \n}\n\n\n\n\n
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\n \n\n \n \n \n \n \n \n Segmentation of skin lesions in 2D and 3D ultrasound images using a spatially coherent generalized Rayleigh mixture model.\n \n \n \n \n\n\n \n Pereyra, M.; Dobigeon, N.; Batatia, H.; and Tourneret, J.\n\n\n \n\n\n\n Technical Report University of Toulouse, IRIT/INP-ENSEEIHT, France, Dec. 2011.\n \n\n\n\n
\n\n\n\n \n \n \"SegmentationPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@techreport{Pereyra_TechReport_2011,\n author       = {M. Pereyra and N. Dobigeon and H. Batatia and J.-Y. Tourneret},\n title        = {Segmentation of skin lesions in 2D and 3D\n                 ultrasound images using a spatially coherent generalized {R}ayleigh mixture model},\n institution  = {University of Toulouse, IRIT/INP-ENSEEIHT},\n address      = {France},\n month        = {Dec.},\n year         = 2011,\n url          = {http://dobigeon.perso.enseeiht.fr/papers/Pereyra_TechReport_2011.pdf},\n  type\t\t   = {Technical reports},     \n}\n\n\n\n\n
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\n \n\n \n \n \n \n \n \n Nonlinearity detection in hyperspectral images using a polynomial post-nonlinear mixing model.\n \n \n \n \n\n\n \n Altmann, Y.; Dobigeon, N.; and Tourneret, J.\n\n\n \n\n\n\n Technical Report University of Toulouse, IRIT/INP-ENSEEIHT, France, Nov. 2011.\n \n\n\n\n
\n\n\n\n \n \n \"NonlinearityPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@techreport{Altmann_TechReport_2011b,\n  author       = {Y. Altmann and N. Dobigeon and J.-Y. Tourneret},\n  title        = {Nonlinearity detection in hyperspectral images using a polynomial post-nonlinear mixing model},\n  institution  = {University of Toulouse, IRIT/INP-ENSEEIHT},\n  address      = {France},\n  month        = {Nov.},\n  year         = 2011,\n  url          = {http://dobigeon.perso.enseeiht.fr/papers/Altmann_TechReport_2011b.pdf},\n  type\t\t   = {Technical reports},     \n}\n\n\n\n\n
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\n \n\n \n \n \n \n \n \n Supervised nonlinear spectral unmixing using a post-nonlinear mixing model for hyperspectral imagery.\n \n \n \n \n\n\n \n Altmann, Y.; Halimi, A.; Dobigeon, N.; and Tourneret, J.\n\n\n \n\n\n\n Technical Report University of Toulouse, IRIT/INP-ENSEEIHT, France, Nov. 2011.\n \n\n\n\n
\n\n\n\n \n \n \"SupervisedPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@techreport{Altmann_TechReport_2011,\n  author       = {Y. Altmann and A. Halimi and N. Dobigeon and J.-Y. Tourneret},\n  title        = {Supervised nonlinear spectral unmixing using a post-nonlinear mixing model for hyperspectral imagery},\n  institution  = {University of Toulouse, IRIT/INP-ENSEEIHT},\n  address      = {France},\n  month        = {Nov.},\n  year         = 2011,\n  url          = {http://dobigeon.perso.enseeiht.fr/papers/Altmann_TechReport_2011.pdf},\n  type\t\t   = {Technical reports},     \n}\n\n\n\n\n
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\n \n\n \n \n \n \n \n \n Minimum mean square distance estimation of a subspace.\n \n \n \n \n\n\n \n Besson, O.; Dobigeon, N.; and Tourneret, J.\n\n\n \n\n\n\n Technical Report University of Toulouse, ISAE & IRIT/INP-ENSEEIHT, France, Jul. 2011.\n \n\n\n\n
\n\n\n\n \n \n \"MinimumPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@techreport{Besson_TechReport_2011,\n  author       = {O. Besson and N. Dobigeon and J.-Y. Tourneret},\n  title        = {Minimum mean square distance estimation of a subspace},\n  institution  = {University of Toulouse, ISAE \\&amp; IRIT/INP-ENSEEIHT},\n  address      = {France},\n  month        = {Jul.},\n  year         = 2011,\n  url          = {http://dobigeon.perso.enseeiht.fr/papers/Besson_TechReport_2011.pdf},\n  type\t\t   = {Technical reports},     \n}\n\n\n\n\n
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\n \n\n \n \n \n \n \n \n Variational methods for spectral unmixing of hyperspectral images.\n \n \n \n \n\n\n \n Eches, O.; Dobigeon, N.; Tourneret, J.; and Snoussi, H.\n\n\n \n\n\n\n Technical Report University of Toulouse, IRIT/INP-ENSEEIHT, France, May 2011.\n \n\n\n\n
\n\n\n\n \n \n \"VariationalPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@techreport{Eches_TechReport_2011b,\n  author       = {O. Eches and N. Dobigeon and J.-Y. Tourneret and H. Snoussi},\n  title        = {Variational methods for spectral unmixing of hyperspectral images},\n  institution  = {University of Toulouse, IRIT/INP-ENSEEIHT},\n  address      = {France},\n  month        = {May},\n  year         = 2011,\n  url          = {http://dobigeon.perso.enseeiht.fr/papers/Eches_TechReport_2011b.pdf},\n  type\t\t   = {Technical reports},     \n}\n\n\n\n\n
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\n \n\n \n \n \n \n \n \n Enhancing hyperspectral image unmixing with spatial correlations.\n \n \n \n \n\n\n \n Eches, O.; Dobigeon, N.; and Tourneret, J.\n\n\n \n\n\n\n Technical Report University of Toulouse, IRIT/INP-ENSEEIHT, France, Jan. 2011.\n \n\n\n\n
\n\n\n\n \n \n \"EnhancingPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@techreport{Eches_TechReport_2011,\n  author       = {O. Eches and N. Dobigeon and J.-Y. Tourneret},\n  title        = {Enhancing hyperspectral image unmixing with spatial correlations},\n  institution  = {University of Toulouse, IRIT/INP-ENSEEIHT},\n  address      = {France},\n  month        = {Jan.},\n  year         = 2011,\n  url          = {http://dobigeon.perso.enseeiht.fr/papers/Eches_TechReport_2011.pdf},\n  type\t\t   = {Technical reports},     \n}\n\n\n\n\n
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\n\n
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\n  \n 2010\n \n \n (1)\n \n \n
\n
\n \n \n
\n \n\n \n \n \n \n \n \n Nonlinear unmixing of hyperspectral images using a generalized bilinear model.\n \n \n \n \n\n\n \n Halimi, A.; Altmann, Y.; Dobigeon, N.; and Tourneret, J.\n\n\n \n\n\n\n Technical Report University of Toulouse, IRIT/INP-ENSEEIHT, France, Oct. 2010.\n \n\n\n\n
\n\n\n\n \n \n \"NonlinearPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@techreport{Halimi_TechReport_2010,\n  author       = {A. Halimi and Y. Altmann and N. Dobigeon and J.-Y. Tourneret},\n  title        = {Nonlinear unmixing of hyperspectral images using a generalized bilinear model},\n  institution  = {University of Toulouse, IRIT/INP-ENSEEIHT},\n  address      = {France},\n  month        = {Oct.},\n  year         = 2010,\n  url          = {http://dobigeon.perso.enseeiht.fr/papers/Halimi_TechReport_2010.pdf},\n  type\t\t   = {Technical reports},     \n}\n\n\n\n\n
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\n  \n 2009\n \n \n (3)\n \n \n
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\n \n \n
\n \n\n \n \n \n \n \n \n Bayesian orthogonal component analysis for sparse representation. Extension to non-homogeneous sparsity level over times.\n \n \n \n \n\n\n \n Dobigeon, N.; and Tourneret, J.\n\n\n \n\n\n\n Technical Report University of Toulouse, IRIT/INP-ENSEEIHT, France, Nov. 2009.\n \n\n\n\n
\n\n\n\n \n \n \"BayesianPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@techreport{Dobigeon_TechReport_2009,\n  author       = {N. Dobigeon and J.-Y. Tourneret},\n  title        = {{B}ayesian orthogonal component analysis for sparse representation. Extension to non-homogeneous sparsity level over times},\n  institution  = {University of Toulouse, IRIT/INP-ENSEEIHT},\n  address      = {France},\n  month        = {Nov.},\n  year         = 2009,\n  url          = {http://dobigeon.perso.enseeiht.fr/papers/Dobigeon_TechReport_2009.pdf},\n  type\t\t   = {Technical reports},     \n}\n\n\n\n\n
\n
\n\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n \n Estimating the number of endmembers in hyperspectral images using the normal compositional model and a hierarchical Bayesian algorithm.\n \n \n \n \n\n\n \n Eches, O.; Dobigeon, N.; and Tourneret, J.\n\n\n \n\n\n\n Technical Report University of Toulouse, IRIT/INP-ENSEEIHT, France, Oct. 2009.\n \n\n\n\n
\n\n\n\n \n \n \"EstimatingPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@techreport{Eches_TechReport_2009b,\n  author       = {O. Eches and N. Dobigeon and J.-Y. Tourneret},\n  title        = {Estimating the number of endmembers in hyperspectral images using the normal compositional model and a hierarchical {B}ayesian algorithm},\n  institution  = {University of Toulouse, IRIT/INP-ENSEEIHT},\n  address      = {France},\n  month        = {Oct.},\n  year         = 2009,\n  url          = {http://dobigeon.perso.enseeiht.fr/papers/Eches_TechReport_2009b.pdf},\n  type\t\t   = {Technical reports},     \n}\n\n\n\n\n
\n
\n\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n \n Unmixing hyperspectral images using a Normal Compositional Model and MCMC methods.\n \n \n \n \n\n\n \n Eches, O.; Dobigeon, N.; Mailhes, C.; and Tourneret, J.\n\n\n \n\n\n\n Technical Report University of Toulouse, IRIT/INP-ENSEEIHT, France, Mar. 2009.\n \n\n\n\n
\n\n\n\n \n \n \"UnmixingPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@techreport{Eches_TechReport_2009a,\n  author       = {O. Eches and N. Dobigeon and C. Mailhes and J.-Y. Tourneret},\n  title        = {Unmixing hyperspectral images using a Normal Compositional Model and {MCMC} methods},\n  institution  = {University of Toulouse, IRIT/INP-ENSEEIHT},\n  address      = {France},\n  month        = {Mar.},\n  year         = 2009,\n  url          = {http://dobigeon.perso.enseeiht.fr/papers/Eches_TechReport_2009a.pdf},\n  type\t\t   = {Technical reports},     \n}\n\n\n\n\n
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\n  \n 2008\n \n \n (2)\n \n \n
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\n \n \n
\n \n\n \n \n \n \n \n \n Bayesian sampling of structured noise covariance matrix for hyperspectral imagery.\n \n \n \n \n\n\n \n Dobigeon, N.; and Tourneret, J.\n\n\n \n\n\n\n Technical Report University of Toulouse, IRIT/INP-ENSEEIHT, France, Dec. 2008.\n \n\n\n\n
\n\n\n\n \n \n \"BayesianPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@techreport{Dobigeon_TechReport_2008b,\n  author       = {N. Dobigeon and J.-Y. Tourneret},\n  title        = {{B}ayesian sampling of structured noise covariance matrix for hyperspectral imagery},\n  institution  = {University of Toulouse, IRIT/INP-ENSEEIHT},\n  address      = {France},\n  month        = {Dec.},\n  year         = 2008,\n  url          = {http://dobigeon.perso.enseeiht.fr/papers/Dobigeon_TechReport_2008b.pdf},\n  type\t\t   = {Technical reports},     \n}\n\n\n\n\n
\n
\n\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n \n Recursive computation of the normalization constant of a multivariate Gaussian distribution truncated on a simplex.\n \n \n \n \n\n\n \n Dobigeon, N.; and Tourneret, J.\n\n\n \n\n\n\n Technical Report University of Michigan, USA, Jan. 2008.\n \n\n\n\n
\n\n\n\n \n \n \"RecursivePaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@techreport{Dobigeon_TechReport_2008a,\n  author       = {N. Dobigeon and J.-Y. Tourneret},\n  title        = {Recursive computation of the normalization constant of a multivariate {G}aussian distribution truncated on a simplex},\n  institution  = {University of Michigan},\n  address      = {USA},\n  month        = {Jan.},\n  year         = 2008,\n  url          = {http://dobigeon.perso.enseeiht.fr/papers/Dobigeon_TechReport_2008a.pdf},\n  type\t\t   = {Technical reports},     \n}\n\n\n\n\n
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\n  \n 2007\n \n \n (3)\n \n \n
\n
\n \n \n
\n \n\n \n \n \n \n \n \n Semi-supervised linear spectral unmixing using a hierarchical Bayesian model for hyperspectral imagery.\n \n \n \n \n\n\n \n Dobigeon, N.; Tourneret, J.; and Chang, C.\n\n\n \n\n\n\n Technical Report IRIT/ENSEEIHT/TeSA & University of Maryland, France and USA, Mar. 2007.\n \n\n\n\n
\n\n\n\n \n \n \"Semi-supervisedPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@techreport{Dobigeon_TechReport_2007c,\n  author       = {N. Dobigeon and J.-Y. Tourneret and C.-I Chang},\n  title        = {Semi-supervised linear spectral unmixing using a hierarchical {B}ayesian model for hyperspectral imagery},\n  institution  = {IRIT/ENSEEIHT/TeSA \\&amp; University of Maryland},\n  address      = {France and USA},\n  month        = {Mar.},\n  year         = 2007,\n  url          = {http://dobigeon.perso.enseeiht.fr/papers/Dobigeon_TechReport_2007c.pdf},\n  type\t\t   = {Technical reports},     \n}\n\n\n\n\n
\n
\n\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n \n Efficient sampling according to a multivariate Gaussian distribution truncated on a simplex.\n \n \n \n \n\n\n \n Dobigeon, N.; and Tourneret, J.\n\n\n \n\n\n\n Technical Report IRIT/ENSEEIHT/TeSA, France, Mar. 2007.\n \n\n\n\n
\n\n\n\n \n \n \"EfficientPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@techreport{Dobigeon_TechReport_2007b,\n  author       = {N. Dobigeon and J.-Y. Tourneret},\n  title        = {Efficient sampling according to a multivariate {G}aussian distribution truncated on a simplex},\n  institution  = {IRIT/ENSEEIHT/TeSA},\n  address      = {France},\n  month        = {Mar.},\n  year         = 2007,\n  url          = {http://dobigeon.perso.enseeiht.fr/papers/Dobigeon_TechReport_2007b.pdf},\n  type\t\t   = {Technical reports},     \n}\n\n\n\n\n
\n
\n\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n \n Truncated Multivariate Gaussian Distribution on a Simplex.\n \n \n \n \n\n\n \n Dobigeon, N.; and Tourneret, J.\n\n\n \n\n\n\n Technical Report IRIT/ENSEEIHT/TeSA, France, Jan. 2007.\n \n\n\n\n
\n\n\n\n \n \n \"TruncatedPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@techreport{Dobigeon_TechReport_2007a,\n  author       = {N. Dobigeon and J.-Y. Tourneret},\n  title        = {Truncated Multivariate {G}aussian Distribution on a Simplex},\n  institution  = {IRIT/ENSEEIHT/TeSA},\n  address      = {France},\n  month        = {Jan.},\n  year         = 2007,\n  url          = {http://dobigeon.perso.enseeiht.fr/papers/Dobigeon_TechReport_2007a.pdf},\n  type\t\t   = {Technical reports},     \n}\n\n\n\n\n
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\n  \n 2006\n \n \n (1)\n \n \n
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\n \n \n
\n \n\n \n \n \n \n \n \n Joint segmentation of piecewise constant autoregressive processes processes by using a hierarchical model and a Bayesian sampling approach.\n \n \n \n \n\n\n \n Dobigeon, N.; Tourneret, J.; and Davy, M.\n\n\n \n\n\n\n Technical Report IRIT/ENSEEIHT/TeSA & LAGIS, France, Mar. 2006.\n \n\n\n\n
\n\n\n\n \n \n \"JointPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@techreport{Dobigeon_TechReport_2006,\n  author       = {N. Dobigeon and J.-Y. Tourneret and M. Davy},\n  title        = {Joint segmentation of piecewise constant autoregressive processes\n                  processes by using a hierarchical model and a {B}ayesian sampling approach},\n  institution  = {IRIT/ENSEEIHT/TeSA \\&amp LAGIS},\n  address      = {France},\n  month        = {Mar.},\n  year         = 2006,\n  url          = {http://dobigeon.perso.enseeiht.fr/papers/Dobigeon_TechReport_2006.pdf},\n  type\t\t   = {Technical reports},     \n}\n\n\n\n%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n%%  Industrial/contract reports   %%\n%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n\n
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\n  \n Thesis\n \n \n (3)\n \n \n
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\n  \n 2012\n \n \n (1)\n \n \n
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\n \n \n
\n \n\n \n \n \n \n \n Inférence bayésienne dans des problèmes inverses, myopes et aveugles en traitement du signal et des images.\n \n \n \n\n\n \n Dobigeon, N.\n\n\n \n\n\n\n Ph.D. Thesis, Institut National Polytechnique de Toulouse, Toulouse, France, October 2012.\n Habilitation `a Diriger des Recherches\n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@Phdthesis{Dobigeon_HDR_2012,\n  author       = {N. Dobigeon},\n  title        = {Inf\\'erence bay\\'esienne dans des probl\\`emes inverses, myopes et aveugles en traitement du signal et des images},\n  language     = {French},\n  year         = {2012},\n  month        = {October},\n  school       = {Institut National Polytechnique de Toulouse},\n  address      = {Toulouse, France},\n  note         = {Habilitation `a Diriger des Recherches},\n  webpage      = {http://dobigeon.perso.enseeiht.fr/hdr.html},\n  type\t\t   = {Thesis},    \n}\n\n\n
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\n  \n 2007\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n Modèles bayésiens hiérarchiques pour le traitement multi-capteur.\n \n \n \n\n\n \n Dobigeon, N.\n\n\n \n\n\n\n Ph.D. Thesis, Institut National Polytechnique de Toulouse, Toulouse, France, October 2007.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@Phdthesis{Dobigeon_PhD_2007,\n  author       = {N. Dobigeon},\n  title        = {Mod\\`eles bay\\'esiens hi\\'erarchiques pour le traitement multi-capteur},\n  language     = {French},\n  year         = {2007},\n  month        = {October},\n  school       = {Institut National Polytechnique de Toulouse},\n  address      = {Toulouse, France}, \n  webpage      = {http://dobigeon.perso.enseeiht.fr/phd.html},\n  type\t\t   = {Thesis},     \n}\n\n\n
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\n  \n 2004\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n Choix et implantation d'une méthode d'extraction de pôles de mélange dans une image hyperspectrale.\n \n \n \n\n\n \n Dobigeon, N.\n\n\n \n\n\n\n Thesis, Institut National Polytechnique de Toulouse, Toulouse, France, June 2004.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@Mastersthesis{Dobigeon_MSc_2004,\n  author       = {N. Dobigeon},\n  title        = {Choix et implantation d'une m\\'ethode d'extraction de p\\^oles de m\\'elange\n                  dans une image hyperspectrale},\n  language     = {French},\n  year         = {2004},\n  month        = {June},\n  school       = {Institut National Polytechnique de Toulouse}, \n  address      = {Toulouse, France},\n  type\t\t   = {Thesis},    \n}\n\n\n\n%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n%% Technical reports/Preprints    %%\n%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n\n
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