Description: Matlab codes associated with the method described in
P.-A. Thouvenin, N. Dobigeon and J.-Y. Tourneret - Hyperspectral unmixing with spectral variability using a perturbed linear mixing model, IEEE Trans. Signal Processing, vol. 64, no. 2, pp. 525-538, Jan. 2016.
Author: P.-A. Thouvenin, pierreantoine[dot]thouvenin[at]gmail[dot]com
Experiments: to run a representative example of the experiments on real data reported in the article, configure and run main.m script.
Dependencies: the present codes includes MATLAB functions described in the following publications, and developed by their authors.
[1] J. M. Nascimento and J. M. Bioucas-Dias - Vertex component analysis: a fast algorithm to unmix hyperspectral data, IEEE Trans. Geosci. Remote Sens., vol. 43, no. 4, pp. 898--910, Apr. 2005.
[2] J. M. Bioucas-Dias and M. A. T. Figueiredo - Alternating direction algorithms for constrained sparse regression: Application to hyperspectral unmixing, Proc. IEEE GRSS Workshop Hyperspectral Image Signal Process.: Evolution in Remote Sens. (WHISPERS)., Reykjavik, Iceland, Jun. 2010.