@InProceedings{8903165,
  author = {Y. K. Benkouider and M. S. Karoui},
  booktitle = {2019 27th European Signal Processing Conference (EUSIPCO)},
  title = {An Unmixing-Based Change Detection Approach for Multiresolution Remote Sensing Images},
  year = {2019},
  pages = {1-5},
  abstract = {In this paper, a new method is proposed to reveal changes using multiresolution and multitemporal remote sensing images. The considered method consists to provide two latent 2D variables with the same resolutions using the linear spectral unmixing concept based on nonnegative matrix factorization. Changes will then be discernible by comparing these two 2D variables or by applying classical change detection method, such as change vector analysis, on these variables. Simulation results presented show that the proposed approach is efficient for identifying changes occurred between two optical images with different spatial and spectral resolutions.},
  keywords = {geophysical image processing;image classification;image resolution;remote sensing;multiresolution remote sensing images;multitemporal remote sensing images;considered method;linear spectral unmixing concept;nonnegative matrix factorization;classical change detection method;change vector analysis;optical images;spatial resolutions;spectral resolutions;Spatial resolution;Hyperspectral imaging;Two dimensional displays;Cost function;Change detection;multiresolution and multitemporal remote sensing images;linear spectral unmixing;nonnegative matrix factorization},
  doi = {10.23919/EUSIPCO.2019.8903165},
  issn = {2076-1465},
  month = {Sep.},
  url = {https://www.eurasip.org/proceedings/eusipco/eusipco2019/proceedings/papers/1570533696.pdf},
}

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