, Fast image recovery using variable splitting and constrained optimization, IEEE Trans. Image Process, vol.19, issue.9, pp.2345-2356, 2010.
, An Augmented Lagrangian Approach to the Constrained Optimization Formulation of Imaging Inverse Problems, IEEE Transactions on Image Processing, vol.20, issue.3, pp.681-695, 2011.
DOI : 10.1109/TIP.2010.2076294
, Bilinear models for nonlinear unmixing of hyperspectral images, 2011 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), pp.1-4, 2011.
DOI : 10.1109/WHISPERS.2011.6080928
, 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
, Blind image deblurring with unknown boundaries using the alternating direction method of multipliers, Proc. IEEE Int. Conf. Image Processing (ICIP). Melbourne, pp.586-590, 2013.
, Deconvolving images with unknown boundaries using the alternating direction method of multipliers, 2013.
, Supervised nonlinear spectral unmixing using a post-nonlinear mixing model for hyperspectral imagery, IEEE Trans. Image Process, vol.21, issue.6, pp.3017-3025, 2012.
, A robust test for nonlinear mixture detection in hyperspectral images, Proc. IEEE Int. Conf. Acoust., Speech, and Signal Processing, pp.2149-2153, 2013.
, Residual component analysis of hyperspectral images -Application to joint nonlinear unmixing and nonlinearity detection, IEEE Trans. Image Process, vol.235, pp.2148-2158, 2014.
, Nonlinear unmixing of hyperspectral images URL: https://tel.archives-ouvertes, pp.945513-945514, 2013.
, Sampling from a multivariate Gaussian distribution truncated on a simplex: A review, 2014 IEEE Workshop on Statistical Signal Processing (SSP), pp.113-116, 2014.
DOI : 10.1109/SSP.2014.6884588
, Robust Linear Spectral Unmixing Using Anomaly Detection, IEEE Transactions on Computational Imaging, vol.1, issue.2
DOI : 10.1109/TCI.2015.2455411
URL : http://arxiv.org/pdf/1501.03731
, Nonlinear unmixing of hyperspectral data with vector-valued kernel functions, IEEE Trans. Image Process, vol.26, issue.1, pp.340-354, 2017.
, Unmixing of Hyperspectral Images using Bayesian Non-negative Matrix Factorization with Volume Prior, Journal of Signal Processing Systems, vol.3753, issue.2009, pp.479-496, 2011.
DOI : 10.1007/978-3-642-00599-2_14
, Bernoulli-Gaussian spectral analysis of unevenly spaced astrophysical data, IEEE/SP 13th Workshop on Statistical Signal Processing, 2005, pp.811-816, 2005.
DOI : 10.1109/SSP.2005.1628705
, Templates for convex cone problems with applications to sparse signal recovery, Math. Prog. Comp. 3.3, pp.165-218, 2011.
DOI : 10.1137/070703983
, Alternating direction optimization for image segmentation using hidden markov measure field models Image Processing: Algorithms and Systems XII, Proc. SPIE 9019, pp.90190-132, 2014.
, A method for finding projections onto the intersection of convex sets in Hilbert spaces Advances in Order Restricted Statistical Inference, pp.28-47, 1986.
, Bernoulli-Gaussian model for gene expression analysis, Proc. IEEE Int. Conf. Acoust., Speech, and Signal Processing (ICASSP). Prague, Czech Republic, pp.5996-5999, 2011.
DOI : 10.1109/icassp.2011.5947728
URL : http://www.eecs.umich.edu/%7Ehero/Preprints/Bazot_IEEE_ICASSP_v9.pdf
, ICE: a statistical approach to identifying endmembers in hyperspectral images, IEEE Transactions on Geoscience and Remote Sensing, vol.42, issue.10, pp.2085-2095, 2004.
DOI : 10.1109/TGRS.2004.835299
, Nonlinear programming, Athena Scientific, vol.157, p.25, 1999.
, Julia: A Fresh Approach to Numerical Computing, SIAM Review, vol.59, issue.1, pp.65-98, 2017.
DOI : 10.1137/141000671
, Alternating direction algorithms for constrained sparse regression: Application to hyperspectral unmixing, 2010 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, pp.45-46, 2010.
DOI : 10.1109/WHISPERS.2010.5594963
, Bayesian image segmentation using hidden fields: Supervised, unsupervised, and semi-supervised formulations, 2016 24th European Signal Processing Conference (EUSIPCO)
DOI : 10.1109/EUSIPCO.2016.7760303
, A Coordinate Descent Primal-Dual Algorithm and Application to Distributed Asynchronous Optimization, IEEE Transactions on Automatic Control, vol.61, issue.10, pp.2947-123, 2016.
DOI : 10.1109/TAC.2015.2512043
URL : https://hal.archives-ouvertes.fr/hal-01237226
, Hyperspectral unmixing overview: geometrical, statistical, and sparse regressionbased approaches, In: IEEE J. Sel. Topics Appl. Earth Observ. in Remote Sens, vol.5, issue.2, pp.354-379, 2012.
, A variable splitting augmented Lagrangian approach to linear spectral unmixing, Proc. IEEE GRSS Workshop Hyperspectral Image Signal Process.: Evolution in Remote Sens. (WHISPERS)
, Convergence of a Multi-Agent Projected Stochastic Gradient Algorithm for Non-Convex Optimization, IEEE Transactions on Automatic Control, vol.58, issue.2, pp.391-405, 2013.
DOI : 10.1109/TAC.2012.2209984
URL : https://hal.archives-ouvertes.fr/hal-00816500
, Hyperspectral Subspace Identification, IEEE Transactions on Geoscience and Remote Sensing, vol.46, issue.8
DOI : 10.1109/TGRS.2008.918089
URL : http://www.lx.it.pt/~bioucas/files/hysime_ieeetgrs_08.pdf
, Sparsity and Morphological Diversity in Blind Source Separation, IEEE Transactions on Image Processing, vol.16, issue.11, pp.2662-2674, 2007.
DOI : 10.1109/TIP.2007.906256
URL : https://hal.archives-ouvertes.fr/hal-00196328
, The normal law under linear restrictions: simulation and estimation via minimax tilting
, Distributed optimization and statistical learning via the alternating direction method of multipliers, Machine Learning, vol.31, issue.101 136, pp.1-122, 2010.
, Proximal alternating linearized minimization for nonconvex and nonsmooth problems, Mathematical Programming 1-2.146, pp.459-494, 2013.
DOI : 10.1007/BF01584660
URL : https://hal.archives-ouvertes.fr/hal-00916090
, Robust principal component analysis?, In: journaltitle of ACM, vol.581, pp.1-37, 2009.
, Asynchronous Parallel Algorithms for Nonconvex Big-Data Optimization. Part I: Model and Convergence arXiv preprint. URL: https, pp.100-105, 2016.
, Unmixing dynamic PET images with a PALM algorithm, Proc. European Signal Process. Conf. (EUSIPCO). to appear, 2017.
, Blind separation of sparse sources in the presence of outliers, Signal Processing, vol.138, issue.132, pp.233-243, 2017.
DOI : 10.1016/j.sigpro.2017.03.024
URL : https://hal.archives-ouvertes.fr/hal-01540186
, Robust Sparse Blind Source Separation, IEEE Signal Processing Letters, vol.22, issue.11, pp.2172-2176, 2015.
DOI : 10.1109/LSP.2015.2463232
URL : http://arxiv.org/pdf/1507.02216
, Asynchronous block-iterative primal-dual decomposition methods for monotone inclusions, Mathematical Programming, vol.16, pp.1-28, 2016.
DOI : 10.1137/S1052623498340448
URL : http://arxiv.org/pdf/1507.03291
, A simplex volume maximization framework for hyperspectral endmember extraction
, Asynchronous Distributed ADMM for Large-Scale Optimization?Part I: Algorithm and Convergence Analysis, IEEE Trans. Signal Process, vol.6212, issue.123, pp.3118-3130, 2016.
, Fast projection onto the simplex and the 1 ball, Math. Program., Ser. A, pp.1-11, 2015.
, Proximal Splitting Methods in Signal Processing, Inverse Problems in Science and Engineering, vol.49, issue.131, pp.185-212, 2011.
DOI : 10.1007/978-1-4419-9569-8_10
URL : https://hal.archives-ouvertes.fr/hal-00643807
, Variable Metric Forward???Backward Algorithm for Minimizing the Sum of a Differentiable Function and a Convex Function, Journal of Optimization Theory and Applications, vol.21, issue.2, pp.107-132, 2014.
DOI : 10.1118/1.597290
URL : https://hal.archives-ouvertes.fr/hal-00789970
, A block coordinate variable metric forward???backward algorithm, Journal of Global Optimization, vol.6, issue.3, pp.547-485, 2016.
DOI : 10.1137/120887795
URL : https://hal.archives-ouvertes.fr/hal-00945918
, Nonlinear Unmixing of Hyperspectral Data Based on a Linear-Mixture/Nonlinear-Fluctuation Model, IEEE Transactions on Signal Processing, vol.61, issue.2, pp.480-492, 2013.
DOI : 10.1109/TSP.2012.2222390
, Nonlinear estimation of material abundance in hyperspectral images with 1 -norm spatial regularization, IEEE Trans. Geosci. Remote Sens, vol.525, pp.2654-2665, 2014.
, Sparse signal recovery using a Bernoulli generalized Gaussian prior, 2015 23rd European Signal Processing Conference (EUSIPCO), pp.1711-1715, 2015.
DOI : 10.1109/EUSIPCO.2015.7362676
URL : https://hal.archives-ouvertes.fr/hal-01278488
, Dictionary Learning Over Distributed Models, IEEE Transactions on Signal Processing, vol.63, issue.4
DOI : 10.1109/TSP.2014.2385045
URL : http://arxiv.org/pdf/1402.1515
, The asynchronous PALM algorithm for nonsmooth nonconvex problems). submitted . URL: https, pp.100-103, 2016.
, Variability of the endmembers in spectral unmixing: recent advances URL: https, Proc. IEEE GRSS Workshop Hyperspectral Image Signal Process.: Evolution in Remote Sens. (WHISPERS). Los Angeles, United States, 2016.
, Hyperspectral and LiDAR Data Fusion: Outcome of the 2013 GRSS Data Fusion Contest, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol.7, issue.6, pp.2405-2418, 2014.
DOI : 10.1109/JSTARS.2014.2305441
, Stein unbiased gradient estimator of the risk (sugar) for multiple parameter selection
, Hierarchical Bayesian Sparse Image Reconstruction With Application to MRFM, IEEE Transactions on Image Processing, vol.18, issue.9, pp.2059-2070, 2009.
DOI : 10.1109/TIP.2009.2024067
URL : https://hal.archives-ouvertes.fr/hal-00324075
, Joint Bayesian endmember extraction and linear unmixing for hyperspectral imagery
, A comparison of nonlinear mixing models for vegetated areas using simulated and real hyperspectral data, IEEE J. Sel. Topics Appl. Earth Observ. in Remote Sens, vol.7, issue.6, pp.1869-1878, 2014.
, Nonlinear unmixing of hyperspectral images: models and algorithms, IEEE Signal Process. Mag, vol.311, issue.7, pp.89-94, 2014.
, Modèles bayésiens hiérarchiques pour le traitement multi-capteur URL: https, 2007.
, Blind hyperspectral unmixing using an extended linear mixing model to address spectral variability, IEEE Trans. Image Process, vol.258, issue.127, pp.3890-3905, 2016.
, Efficient sampling according to a multivariate Gaussian distribution truncated on a simplex, 2007.
, Spatial and spectral unmixing using the beta compositional model, IEEE J. Sel. Topics Appl. Earth Observ. in Remote Sens, vol.7, issue.8 9, pp.1994-2003, 2014.
, Efficient projection onto the 1 -ball for learning in high dimensions, Proc. Int. Conf. Machine Learning (ICML), 2008.
, Bayesian estimation of linear mixtures using the normal compositional model Application to hyperspectral imagery, IEEE Trans. Image Process, vol.196, issue.9, pp.1403-1413, 2010.
, Méthodes Bayésiennes pour le démélange d'images hyperspectrales, pp.inp-toulouse, 2010.
, Enhancing Hyperspectral Image Unmixing With Spatial Correlations, IEEE Transactions on Geoscience and Remote Sensing, vol.49, issue.11, pp.4239-4247, 2011.
DOI : 10.1109/TGRS.2011.2140119
URL : https://hal.archives-ouvertes.fr/hal-00548759
, Informative Change Detection by Unmixing for Hyperspectral Images, IEEE Geoscience and Remote Sensing Letters, vol.12, issue.6, pp.1252-1256, 2015.
DOI : 10.1109/LGRS.2015.2390973
, Comparative study between a new nonlinear model and common linear model for analysing laboratory simulated-forest hyperspectral data, Int. J. Remote Sens, vol.3011, pp.2951-2962, 2009.
, Nonlinear Hyperspectral Unmixing With Robust Nonnegative Matrix Factorization, IEEE Transactions on Image Processing, vol.24, issue.12, pp.4904-4917, 2015.
DOI : 10.1109/TIP.2015.2468177
, Robust fusion of multiband images with different spatial and spectral resolutions for change detection, IEEE Trans. Comput. Imag, vol.3, issue.132, pp.175-186, 2017.
, Splitting Methods with Variable Metric for Kurdyka?????ojasiewicz Functions and General Convergence Rates, Journal of Optimization Theory and Applications, vol.122, issue.4, pp.874-900, 2015.
DOI : 10.1007/s00211-012-0475-7
URL : http://arxiv.org/pdf/1405.1357
, Bayesian selection for the l2-potts model regularization parameter: 1d piecewise constant signal denoising, IEEE Trans. Signal Process, vol.128, issue.131, 2017.
, Parallel Selective Algorithms for Nonconvex Big Data Optimization, IEEE Transactions on Signal Processing, vol.63, issue.7, pp.1874-1889, 2015.
DOI : 10.1109/TSP.2015.2399858
URL : http://arxiv.org/pdf/1402.5521
, MUUFL gulfport hyperspectral and LiDAR airborne data set
, Estimation of the Ising field parameter thanks to the exact partition function, 2010 IEEE International Conference on Image Processing
DOI : 10.1109/ICIP.2010.5650185
URL : https://hal.archives-ouvertes.fr/hal-00669080
, Ising field parameter estimation from incomplete and noisy data, Proc. IEEE Int
, An Analysis of the Total Least Squares Problem, SIAM Journal on Numerical Analysis, vol.17, issue.6, pp.883-893, 1980.
DOI : 10.1137/0717073
, Unmixing analysis of a time series of hyperion images over the Guánica dry forest in Puerto Rico, In: IEEE J. Sel. Topics Appl. Earth Observ. in Remote Sens, vol.6, issue.29, pp.329-338, 2013.
, Inference from Iterative Simulation Using Multiple Sequences, Statistical Science, vol.7, issue.4, pp.457-511, 1992.
DOI : 10.1214/ss/1177011136
, 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
, Unmixing hyperspectral images accounting for temporal and spatial endmember variability, Proc. European Signal Process. Conf. (EUSIPCO), pp.1686-1690, 2015.
, Bayesian estimation of smooth altimetric parameters: application to conventional and delay/Doppler altimetry, IEEE Trans. Geosci. Remote Sens, vol.54, issue.4, pp.2207-2219, 2016.
, Estimating the intrinsic dimension of hyperspectral images using a noise-whitened eigengap approach, IEEE Trans. Geosci. Remote Sens, vol.547, pp.3811-3821, 2016.
, 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
, Bidirectional reflectance spectroscopy. I. Theory, J. Geophys. Res.B4, vol.86, pp.3039-3054, 1981.
, Theory of reflectance and emittance spectroscopy, 1993.
, On Using Projection Onto Convex Sets for Solving the Hyperspectral Unmixing Problem, IEEE Geoscience and Remote Sensing Letters, vol.10, issue.6, pp.1522-1526, 2013.
DOI : 10.1109/LGRS.2013.2261276
, Constrained subpixel target detection for remotely sensed imagery, IEEE Trans. Geosci. Remote Sens, vol.38, pp.1144-1159, 2000.
, Fully constrained least squares linear spectral mixture analysis method for material quantification in hyperspectral imagery, IEEE Transactions on Geoscience and Remote Sensing, vol.39, issue.3, pp.529-545, 2001.
DOI : 10.1109/36.911111
, 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
, 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 endmember variability via alternating angle minimization
, Nonlinear regression using smooth Bayesian estimation, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.2634-2638, 2015.
DOI : 10.1109/ICASSP.2015.7178448
URL : https://hal.archives-ouvertes.fr/hal-01485021
, A Review of Nonlinear Hyperspectral Unmixing Methods, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol.7, issue.6
DOI : 10.1109/JSTARS.2014.2320576
, On unbounded delays in asynchronous parallel fixed-point algorithms URL: https, 2016.
, Sparse Unmixing of Hyperspectral Data, IEEE Transactions on Geoscience and Remote Sensing, vol.49, issue.6
DOI : 10.1109/TGRS.2010.2098413
, Joint recovery of sparse signals and parameter perturbations with parameterized measurement models, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing
DOI : 10.1109/ICASSP.2013.6638796
, A Novel Approach Based on Fisher Discriminant Null Space for Decomposition of Mixed Pixels in Hyperspectral Imagery, IEEE Geoscience and Remote Sensing Letters, vol.7, issue.4, pp.699-703, 2010.
DOI : 10.1109/LGRS.2010.2046134
, Maximum likelihood detection and estimation of Bernoulli - Gaussian processes, IEEE Transactions on Information Theory, vol.28, issue.3, pp.482-488, 1982.
DOI : 10.1109/TIT.1982.1056496
, Fundamentals of differential geometry Graduate Texts in Mathematics, 1999.
, Bayesian deconvolution of Bernoulli-Gaussian processes, In: Signal Process, vol.33, issue.1, pp.67-79, 1993.
, Distributed Dictionary Learning for Sparse Representation in Sensor Networks, IEEE Transactions on Image Processing, vol.23, issue.6
DOI : 10.1109/TIP.2014.2316373
, Asynchronous parallel stochastic gradient for nonconvex optimization, Adv. in Neural Information Processing Systems, pp.2719-2727, 2015.
, Unsupervised multitemporal spectral unmixing for detecting multiple changes in hyperspectral images, IEEE Trans. Geosci. Remote Sens, vol.545, issue.44, pp.2733-2748, 2016.
, Distributed nonconvex optimization over networks, 2015 IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)
DOI : 10.1109/CAMSAP.2015.7383778
, Multi-Sensor Adaptive Process. (CAMSAP), pp.229-232, 2015.
, Unsupervised joint decomposition of a spectroscopic signal sequence, Signal Processing, vol.109, pp.193-205, 2015.
DOI : 10.1016/j.sigpro.2014.10.032
, Linear-quadratic mixing model for reflectances in urban environments
, Hyperspectral unmixing with material variability using social sparsity, Proc. IEEE Int
, Endmember Extraction From Highly Mixed Data Using Minimum Volume Constrained Nonnegative Matrix Factorization, IEEE Transactions on Geoscience and Remote Sensing, vol.45, issue.3, pp.765-776, 2007.
DOI : 10.1109/TGRS.2006.888466
, Accelerated Edge-Preserving Image Restoration Without Boundary Artifacts, IEEE Transactions on Image Processing, vol.22, issue.5, pp.2019-2029, 2013.
DOI : 10.1109/TIP.2013.2244218
URL : http://europepmc.org/articles/pmc3609946?pdf=render
, Hidden Markov measure field models for image segmentation, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.25, issue.11, pp.1380-1387, 2003.
DOI : 10.1109/TPAMI.2003.1240112
URL : http://www.csee.wvu.edu/~tmcgraw/cs593spring2006/hmmf.pdf
, Does independent component analysis play a role in unmixing hyperspectral data, IEEE Trans. Geosci. Remote Sens, vol.43, issue.1, pp.175-187, 2005.
, Vertex component analysis: a fast algorithm to unmix hyperspectral data, IEEE Trans. Geosci. Remote Sens, vol.43, issue.111, pp.898-910, 2005.
, Nonlinear mixture model for hyperspectral unmixing, Image and Signal Processing for Remote Sensing XV, p.74770, 2009.
DOI : 10.1117/12.830492
, A two-dimensional model with an order-disorder transition, pp.117-149, 1944.
, Proximal Algorithms, Foundations and Trends?? in Optimization, vol.1, issue.3, pp.127-239, 2014.
DOI : 10.1561/2400000003
URL : http://www.nowpublishers.com/article/DownloadSummary/OPT-003
, Maximum-a-posteriori estimation with unknown regularisation parameters, 2015 23rd European Signal Processing Conference (EUSIPCO), pp.230-2343, 2015.
DOI : 10.1109/EUSIPCO.2015.7362379
, ARock: An Algorithmic Framework for Asynchronous Parallel Coordinate Updates, SIAM Journal on Scientific Computing, vol.38, issue.5
DOI : 10.1137/15M1024950
URL : http://arxiv.org/pdf/1506.02396
, Estimating the Granularity Coefficient of a Potts-Markov Random Field Within a Markov Chain Monte Carlo Algorithm, IEEE Transactions on Image Processing, vol.22, issue.6, pp.2385-2397, 2013.
DOI : 10.1109/TIP.2013.2249076
, Computing the Cramer???Rao Bound of Markov Random Field Parameters: Application to the Ising and the Potts Models, IEEE Signal Processing Letters, vol.21, issue.1, pp.47-50, 2014.
DOI : 10.1109/LSP.2013.2290329
URL : https://hal.archives-ouvertes.fr/hal-00915825
, Exact Hamiltonian Monte Carlo for Truncated Multivariate Gaussians, Journal of Computational and Graphical Statistics, vol.58, issue.2, pp.518-542, 2014.
DOI : 10.2307/1907382
URL : http://arxiv.org/pdf/1208.4118
, A Class of Randomized Primal-Dual Algorithms for Distributed Optimization, Journal of nonlinear and convex analysis, vol.1612, issue.100, pp.2453-2490, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01077615
, A Bayesian Nonparametric Model Coupled with a Markov Random Field for Change Detection in Heterogeneous Remote Sensing Images, SIAM Journal on Imaging Sciences, vol.9, issue.4, pp.1889-1921, 2016.
DOI : 10.1137/15M1047908
URL : https://hal.archives-ouvertes.fr/hal-01416149
, Hyperspectral Unmixing via $L_{1/2}$ Sparsity-Constrained Nonnegative Matrix Factorization, IEEE Transactions on Geoscience and Remote Sensing, vol.49, issue.11, pp.4282-4297, 2011.
DOI : 10.1109/TGRS.2011.2144605
URL : http://users.cecs.anu.edu.au/~arobkell/papers/tgrs11.pdf
, NMF with Sparse Regularizations in Transformed Domains, SIAM Journal on Imaging Sciences, vol.7, issue.4, pp.2020-2047, 2014.
DOI : 10.1137/140952314
, A preconditioned Forward-Backward approach with application to large-scale nonconvex spectral unmixing problems, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.1498-1502, 2014.
DOI : 10.1109/ICASSP.2014.6853847
URL : https://hal.archives-ouvertes.fr/hal-01077329
, Mapping chaparral in the Santa Monica mountain using multiple endmember spectral mixture models, In: Remote Sens. Environment, vol.653, issue.10, pp.267-279, 1998.
, Convergence of Stationary Points of Sample Average Two-Stage Stochastic Programs: A Generalized Equation Approach, Mathematics of Operations Research, vol.36, issue.3, pp.568-592, 2011.
DOI : 10.1287/moor.1110.0506
, Parallel and distributed methods for nonconvex optimization-part i: theory, IEEE Trans. Signal Process, vol.658, issue.100, pp.1929-2944, 2017.
, Endmember variability in spectral mixture analysis: a review, In: Remote Sens. Environment, vol.1157, pp.1603-1616, 2011.
, Automated extraction of image-based endmember bundles for improved spectral unmixing, IEEE J. Sel. Topics Appl. Earth Observ. in Remote Sens, vol.5, issue.10, pp.396-408, 2012.
, Adadelay: delay adaptive distributed stochastic optimization, Proc. Int. Conf. Artificial Intelligence and Statistics (AISTATS). 16. Cadiz, pp.957-965, 2016.
, Estimation of the mean of a multivariate normal distribution, The Annals of Statistics, vol.9, issue.131, pp.1135-1151, 1981.
, A perturbed linear mixing model accounting for spectral variability, Proc. European Signal Process. Conf. (EUSIPCO), pp.819-823, 2015.
, Estimation de variabilité pour le démélange nonsupervisé d'images hyperspectrales, Actes du XXVième Colloque GRETSI. in French, 2015.
, Hyperspectral unmixing with spectral variability using a perturbed linear mixing model, IEEE Trans. Signal Process, vol.64, issue.2, pp.525-538, 2016.
, Online unmixing of multitemporal hyperspectral images accounting for spectral variability, IEEE Trans. Image Process, vol.25, issue.9, pp.3979-3990, 2016.
, Unmixing multitemporal hyperspectral images with variability: an online algorithm, Proc. IEEE Int. Conf. Acoust., Speech, and Signal Processing (ICASSP)
, A hierarchical Bayesian model accounting for endmember variability and abrupt spectral changes to unmix multitemporal hyperspectral images, 2017.
, Partially asynchronous distributed unmixing of hyperspectral images URL: https://arxiv.org/abs, p.2574, 1710.
, Une approche distribuée asynchrone pour la factorisation en matrices non-négatives ? application au démélange hyperspectral, Actes du XXVIième Colloque GRETSI. in French. Juan-les, 2017.
, Unmixing Multitemporal Hyperspectral Images Accounting for Smooth and Abrupt Variations, Proc. European Signal Process. Conf. (EUSIPCO), pp.2442-2446, 2017.
, Regression shrinkage and selection via the LASSO, Stat. Soc. Ser. B, vol.581, pp.267-288, 1996.
, Distributed Blind Hyperspectral Unmixing via Joint Sparsity and Low-Rank Constrained Non-Negative Matrix Factorization, IEEE Transactions on Computational Imaging, vol.3, issue.2
DOI : 10.1109/TCI.2017.2693967
, A novel endmember bundle extraction and clustering approach for capturing spectral variability within endmember classes, IEEE Trans. Geosci. Remote Sens, vol.54, issue.11, pp.6712-6731, 2016.
, A novel spectral unmixing method incorporating spectral variability within endmember classes, IEEE Trans. Geosci. Remote Sens, vol.545, pp.2812-2831, 2016.
, Incorporating spatial information and endmember variability into unmixing analyses to improve abundance estimates, IEEE Trans. Image Process, vol.2512, pp.5563-5575, 2016.
, A new extended linear mixing model to address spectral variability
, Hyperspectral Image Signal Process.: Evolution in Remote Sens. (WHISPERS), pp.17-18, 2014.
, Multilinear spectral unmixing of hyperspectral multiangle images, Proc. European Signal Process. Conf. (EUSIPCO). 23, pp.744-792, 2015.
, Nonnegative Tensor CP Decomposition of Hyperspectral Data, IEEE Transactions on Geoscience and Remote Sensing, vol.54, issue.5
DOI : 10.1109/TGRS.2015.2503737
URL : https://hal.archives-ouvertes.fr/hal-01134470
, Expectation-Maximization Gaussian-mixture approximate message passing
DOI : 10.1109/ciss.2012.6310932
URL : http://arxiv.org/pdf/1207.3107
, Multiband image fusion based on spectral unmixing, IEEE Trans. Geosci. Remote Sens, vol.5412, issue.132, pp.7236-7249, 2016.
, Bayesian fusion of multi-band images: a powerful tool for super-resolution, 20150059.
, Coordinate descent algorithms, Math. Program., Ser. B, vol.1511, pp.3-34, 2015.
, Global convergence of admm in nonconvex nonsmooth optimization URL: https, 2015.
, Multisensor Coupled Spectral Unmixing for Time-Series Analysis, IEEE Transactions on Geoscience and Remote Sensing, vol.55, issue.5
DOI : 10.1109/TGRS.2017.2655115
URL : http://doi.org/10.1109/tgrs.2017.2655115
, Endmember variability in hyperspectral imagery, IEEE Signal Process. Mag, vol.311, pp.95-104, 2014.