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[1] Cédric Richard,et al. Nonparametric Detection of Nonlinearly Mixed Pixels and Endmember Estimation in Hyperspectral Images , 2015, IEEE Transactions on Image Processing.
[2] Alfred O. Hero,et al. Nonlinear Unmixing of Hyperspectral Images: Models and Algorithms , 2013, IEEE Signal Processing Magazine.
[3] Pol Coppin,et al. Endmember variability in Spectral Mixture Analysis: A review , 2011 .
[4] David Mary,et al. Blind and Fully Constrained Unmixing of Hyperspectral Images , 2014, IEEE Transactions on Image Processing.
[5] Amos J. Storkey,et al. Data Augmentation Generative Adversarial Networks , 2017, ICLR 2018.
[6] W. Verstraeten,et al. A Conceptual Framework for the Simultaneous Extraction of Sub-pixel Spatial Extent and Spectral Characteristics of Crops , 2009 .
[7] Margaret E. Gardner,et al. Mapping Chaparral in the Santa Monica Mountains Using Multiple Endmember Spectral Mixture Models , 1998 .
[8] Paul D. Gader,et al. A Review of Nonlinear Hyperspectral Unmixing Methods , 2014, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[9] Alfonso Fernández-Manso,et al. Spectral unmixing , 2012 .
[10] Cédric Richard,et al. Band Selection for Nonlinear Unmixing of Hyperspectral Images as a Maximal Clique Problem , 2017, IEEE Transactions on Image Processing.
[11] D. Peddle. Spectral Mixture Analysis and Geometric-Optical Reflectance Modeling of Boreal Forest Biophysical Structure , 1999 .
[12] Antonio J. Plaza,et al. Total Variation Spatial Regularization for Sparse Hyperspectral Unmixing , 2012, IEEE Transactions on Geoscience and Remote Sensing.
[13] K. C. Ho,et al. Endmember Variability in Hyperspectral Analysis: Addressing Spectral Variability During Spectral Unmixing , 2014, IEEE Signal Processing Magazine.
[14] Rob Heylen,et al. Hyperspectral Unmixing With Endmember Variability via Alternating Angle Minimization , 2016, IEEE Transactions on Geoscience and Remote Sensing.
[15] Ricardo Augusto Borsoi,et al. Generalized Linear Mixing Model Accounting for Endmember Variability , 2017, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[16] D. Roberts,et al. Wildfire temperature and land cover modeling using hyperspectral data , 2006 .
[17] Ricardo Augusto Borsoi,et al. Low-Rank Tensor Modeling for Hyperspectral Unmixing Accounting for Spectral Variability , 2018, IEEE Transactions on Geoscience and Remote Sensing.
[18] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[19] José M. Bioucas-Dias,et al. Vertex component analysis: a fast algorithm to unmix hyperspectral data , 2005, IEEE Transactions on Geoscience and Remote Sensing.
[20] Léon Bottou,et al. Wasserstein Generative Adversarial Networks , 2017, ICML.
[21] Max Welling,et al. Auto-Encoding Variational Bayes , 2013, ICLR.
[22] F. Baret,et al. PROSPECT: A model of leaf optical properties spectra , 1990 .
[23] B. Hapke. Bidirectional reflectance spectroscopy: 1. Theory , 1981 .
[24] Yoshua Bengio,et al. Generative Adversarial Nets , 2014, NIPS.
[25] Radford M. Neal. Annealed importance sampling , 1998, Stat. Comput..
[26] Cédric Richard,et al. A Fast Multiscale Spatial Regularization for Sparse Hyperspectral Unmixing , 2017, IEEE Geoscience and Remote Sensing Letters.
[27] Ricardo Augusto Borsoi,et al. Deep Generative Endmember Modeling: An Application to Unsupervised Spectral Unmixing , 2019, IEEE Transactions on Computational Imaging.