A hierarchical Bayesian model accounting for endmember variability and abrupt spectral changes to unmix multitemporal hyperspectral images – Complementary results and supporting materials. Thouvenin, P., Dobigeon, N., & Tourneret, J. Technical Report University of Toulouse, IRIT/INP-ENSEEIHT, France, May, 2017.
A hierarchical Bayesian model accounting for endmember variability and abrupt spectral changes to unmix multitemporal hyperspectral images – Complementary results and supporting materials [pdf]Paper  bibtex   

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