Hyperspectral unmixing overview: Geometrical, statistical, and sparse regression-based approaches Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal, vol.5, issue.2, pp.354-379, 2012. ,
A review of nonlinear hyperspectral unmixing methods Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal, vol.7, issue.6, pp.1844-1868, 2014. ,
Endmember variability in Spectral Mixture Analysis: A review, Remote Sensing of Environment, vol.115, issue.7, pp.1603-1616, 2011. ,
DOI : 10.1016/j.rse.2011.03.003
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
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
Automated extraction of image-based endmember bundles for improved spectral unmixing Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal, vol.5, issue.2, pp.396-408, 2012. ,
Hyperspectral unmixing with material variability using social sparsity, 2016 IEEE International Conference on Image Processing (ICIP), 2016. ,
DOI : 10.1109/ICIP.2016.7532746
URL : https://hal.archives-ouvertes.fr/hal-01364247
Unmixing Analysis of a Time Series of Hyperion Images Over the Gu??nica Dry Forest in Puerto Rico, Selected Topics in Applied Earth Observations and Remote Sensing, pp.329-338, 2013. ,
DOI : 10.1109/JSTARS.2012.2225096
Hyperspectral Image Segmentation Using a New Spectral Unmixing-Based Binary Partition Tree Representation, IEEE Transactions on Image Processing, vol.23, issue.8, pp.3574-3589, 2014. ,
DOI : 10.1109/TIP.2014.2329767
URL : https://hal.archives-ouvertes.fr/hal-01010430
Svm-based unmixing-toclassification conversion for hyperspectral abundance quantification Geoscience and Remote Sensing, IEEE Transactions on, vol.49, issue.11, pp.4318-4327, 2011. ,
A Novel Spectral Unmixing Method Incorporating Spectral Variability Within Endmember Classes, IEEE Transactions on Geoscience and Remote Sensing, vol.54, issue.5, pp.1-1, 2016. ,
DOI : 10.1109/TGRS.2015.2506168
Bayesian estimation of linear mixtures using the normal compositional model. application to hyperspectral imagery Spatial and spectral unmixing using the beta compositional model, Image Processing IEEE Transactions on IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol.19, issue.7 6, pp.1403-1413, 2010. ,
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
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
Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers, Machine Learning, pp.1-122, 2011. ,
DOI : 10.1561/2200000016
Online Unmixing of Multitemporal Hyperspectral Images Accounting for Spectral Variability, IEEE Transactions on Image Processing, vol.25, issue.9, 2015. ,
DOI : 10.1109/TIP.2016.2579309
URL : https://hal.archives-ouvertes.fr/hal-01500507
Hyperspectral unmixing in presence of endmember variability, nonlinearity or mismodelling effects, 2015. ,
Nonnegative Tensor CP Decomposition of Hyperspectral Data, IEEE Transactions on Geoscience and Remote Sensing, vol.54, issue.5, pp.1-12, 2015. ,
DOI : 10.1109/TGRS.2015.2503737
URL : https://hal.archives-ouvertes.fr/hal-01134470
Multilinear spectral unmixing of hyperspectral multiangle images, 2015 23rd European Signal Processing Conference (EUSIPCO), pp.744-748, 2015. ,
DOI : 10.1109/EUSIPCO.2015.7362482
URL : https://hal.archives-ouvertes.fr/hal-01158900
Theory of reflectance and emittance spectroscopy, 2012. ,
A new extended linear mixing model to address spectral variability, Proc. IEEE WHISPERS, 2014. ,
URL : https://hal.archives-ouvertes.fr/hal-01010424
Blind Hyperspectral Unmixing Using an Extended Linear Mixing Model to Address Spectral Variability, Proc. IEEE WHISPERS, 2015. ,
DOI : 10.1109/TIP.2016.2579259
URL : https://hal.archives-ouvertes.fr/hal-01165114
Blind Hyperspectral Unmixing Using an Extended Linear Mixing Model to Address Spectral Variability, IEEE Transactions on Image Processing, vol.25, issue.8, p.2015 ,
DOI : 10.1109/TIP.2016.2579259
URL : https://hal.archives-ouvertes.fr/hal-01165114
A Conceptual Framework for the Simultaneous Extraction of Sub-pixel Spatial Extent and Spectral Characteristics of Crops, Photogrammetric Engineering & Remote Sensing, vol.75, issue.1, pp.57-68, 2009. ,
DOI : 10.14358/PERS.75.1.57
An Image-Based Endmember Bundle Extraction Algorithm Using Both Spatial and Spectral Information, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol.8, issue.6, pp.2607-2617, 2015. ,
DOI : 10.1109/JSTARS.2014.2373491