J. Bioucas-dias, A. Plaza, G. Camps-valls, P. Scheunders, N. Nasrabadi et al., Hyperspectral Remote Sensing Data Analysis and Future Challenges, IEEE Geoscience and Remote Sensing Magazine, vol.1, issue.2, pp.6-36, 2013.
DOI : 10.1109/MGRS.2013.2244672

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.386.4587

J. Bioucas-dias, A. Plaza, N. Dobigeon, M. Parente, Q. Du et al., Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse Regression-Based Approaches, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol.5, issue.2, pp.354-379, 2012.
DOI : 10.1109/JSTARS.2012.2194696

URL : https://hal.archives-ouvertes.fr/hal-00760787

W. Ma, J. Bioucas-dias, T. Chan, N. Gillis, P. Gader et al., A Signal Processing Perspective on Hyperspectral Unmixing: Insights from Remote Sensing, IEEE Signal Processing Magazine, vol.31, issue.1, pp.67-81, 2014.
DOI : 10.1109/MSP.2013.2279731

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.643.4438

R. Heylen, M. Parente, and P. Gader, A Review of Nonlinear Hyperspectral Unmixing Methods, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol.7, issue.6, pp.1844-1868, 2014.
DOI : 10.1109/JSTARS.2014.2320576

N. Dobigeon, J. Y. Tourneret, C. Richard, J. C. Bermudez, S. Mclaughlin et al., Nonlinear Unmixing of Hyperspectral Images: Models and Algorithms, IEEE Signal Processing Magazine, vol.31, issue.1, pp.82-94, 2014.
DOI : 10.1109/MSP.2013.2279274

URL : https://hal.archives-ouvertes.fr/hal-00915663

I. Meganem, Y. Deville, S. Hosseini, P. Déliot, and X. Briottet, Linear-Quadratic Blind Source Separation Using NMF to Unmix Urban Hyperspectral Images, IEEE Transactions on Signal Processing, vol.62, issue.7, pp.1822-1833, 2014.
DOI : 10.1109/TSP.2014.2306181

Y. Altmann, N. Dobigeon, and J. Y. Tourneret, Unsupervised Post-Nonlinear Unmixing of Hyperspectral Images Using a Hamiltonian Monte Carlo Algorithm, IEEE Transactions on Image Processing, vol.23, issue.6, pp.2663-2675, 2014.
DOI : 10.1109/TIP.2014.2314022

URL : https://hal.archives-ouvertes.fr/hal-00992112

C. Févotte and N. Dobigeon, Nonlinear Hyperspectral Unmixing With Robust Nonnegative Matrix Factorization, IEEE Transactions on Image Processing, vol.24, issue.12, pp.4810-4819, 2015.
DOI : 10.1109/TIP.2015.2468177

A. Halimi, Y. Altmann, N. Dobigeon, and J. Tourneret, Nonlinear Unmixing of Hyperspectral Images Using a Generalized Bilinear Model, IEEE Transactions on Geoscience and Remote Sensing, vol.49, issue.11, pp.4153-4162, 2011.
DOI : 10.1109/TGRS.2010.2098414

A. Zare and K. Ho, Endmember Variability in Hyperspectral Analysis: Addressing Spectral Variability During Spectral Unmixing, IEEE Signal Processing Magazine, vol.31, issue.1, pp.95-104, 2014.
DOI : 10.1109/MSP.2013.2279177

P. Thouvenin, N. Dobigeon, and J. Tourneret, Hyperspectral Unmixing With Spectral Variability Using a Perturbed Linear Mixing Model, IEEE Transactions on Signal Processing, vol.64, issue.2, pp.525-538, 2016.
DOI : 10.1109/TSP.2015.2486746

URL : https://hal.archives-ouvertes.fr/hal-01273078

A. Halimi, N. Dobigeon, and J. Y. Tourneret, Unsupervised Unmixing of Hyperspectral Images Accounting for Endmember Variability, IEEE Transactions on Image Processing, vol.24, issue.12, pp.4904-4917, 2015.
DOI : 10.1109/TIP.2015.2471182

S. Henrot, J. Chanussot, and C. Jutten, Dynamical Spectral Unmixing of Multitemporal Hyperspectral Images, IEEE Transactions on Image Processing, vol.25, issue.7, pp.3219-3232, 2016.
DOI : 10.1109/TIP.2016.2562562

URL : https://hal.archives-ouvertes.fr/hal-01346918

L. Drumetz, M. A. Veganzones, S. Henrot, R. Phlypo, J. Chanussot et al., Blind Hyperspectral Unmixing Using an Extended Linear Mixing Model to Address Spectral Variability, IEEE Transactions on Image Processing, vol.25, issue.8, pp.3890-3905, 2016.
DOI : 10.1109/TIP.2016.2579259

URL : https://hal.archives-ouvertes.fr/hal-01165114

A. Halimi, P. Honeine, and J. M. Bioucas-dias, Hyperspectral Unmixing in Presence of Endmember Variability, Nonlinearity, or Mismodeling Effects, IEEE Transactions on Image Processing, vol.25, issue.10, pp.4565-4579, 2016.
DOI : 10.1109/TIP.2016.2590324

A. Halimi, J. M. Bioucas-dias, N. Dobigeon, G. S. Buller, and S. Mclaughlin, Fast Hyperspectral Unmixing in Presence of Nonlinearity or Mismodeling Effects, IEEE Transactions on Computational Imaging, vol.3, issue.2, pp.146-159, 2017.
DOI : 10.1109/TCI.2016.2631979

C. Revel, Y. Deville, V. Achard, and X. Briottet, A linear-quadratic unsupervised hyperspectral unmixing method dealing with intra-class variability, IEEE Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, p.2016, 2016.

B. Ehsandoust, M. Babaie-zadeh, and C. Jutten, Blind Source Separation in Nonlinear Mixture for Colored Sources Using Signal Derivatives, International Conference on Latent Variable Analysis and Signal Separation, pp.193-200, 2015.
DOI : 10.1007/978-3-319-22482-4_22

URL : https://hal.archives-ouvertes.fr/hal-01226466

R. F. Kokaly, R. N. Clark, G. A. Swayze, K. E. Livo, T. M. Hoefen et al., USGS Spectral Library Version 7, 2017.
DOI : 10.3133/ds1035

R. Heylen, P. Scheunders, ]. D. Heinz, and C. Chang, A Multilinear Mixing Model for Nonlinear Spectral Unmixing, IEEE Transactions on Geoscience and Remote Sensing, vol.54, issue.1, pp.240-251, 2001.
DOI : 10.1109/TGRS.2015.2453915

N. Yokoya, J. Chanussot, and A. Iwasaki, Nonlinear Unmixing of Hyperspectral Data Using Semi-Nonnegative Matrix Factorization, IEEE Transactions on Geoscience and Remote Sensing, vol.52, issue.2, pp.1430-1437, 2014.
DOI : 10.1109/TGRS.2013.2251349

URL : https://hal.archives-ouvertes.fr/hal-01128460

L. Drumetz, S. Henrot, M. A. Veganzones, J. Chanussot, and C. Jutten, Blind Hyperspectral Unmixing Using an Extended Linear Mixing Model to Address Spectral Variability, IEEE Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, p.2015, 2015.
DOI : 10.1109/TIP.2016.2579259

URL : https://hal.archives-ouvertes.fr/hal-01165114