Generalized Linear Mixing Model Accounting for Endmember Variability
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Ricardo Augusto Borsoi | Tales Imbiriba | José Carlos M. Bermudez | J. Bermudez | R. Borsoi | T. Imbiriba
[1] Alfred O. Hero,et al. Nonlinear Unmixing of Hyperspectral Images: Models and Algorithms , 2013, IEEE Signal Processing Magazine.
[2] Liquan Zhang,et al. Multi-seasonal spectral characteristics analysis of coastal salt marsh vegetation in Shanghai, China , 2006 .
[3] Cédric Richard,et al. Band Selection for Nonlinear Unmixing of Hyperspectral Images as a Maximal Clique Problem , 2017, IEEE Transactions on Image Processing.
[4] H. Sebastian Seung,et al. Algorithms for Non-negative Matrix Factorization , 2000, NIPS.
[5] A. Karnieli,et al. Remote sensing of the seasonal variability of vegetation in a semi-arid environment , 2000 .
[6] Jocelyn Chanussot,et al. Blind Hyperspectral Unmixing Using an Extended Linear Mixing Model to Address Spectral Variability , 2016, IEEE Transactions on Image Processing.
[7] Jocelyn Chanussot,et al. Variability of the endmembers in spectral unmixing: Recent advances , 2016, 2016 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS).
[8] Dianne P. O'Leary,et al. Deblurring Images: Matrices, Spectra and Filtering , 2006, J. Electronic Imaging.
[9] José M. Bioucas-Dias,et al. Vertex component analysis: a fast algorithm to unmix hyperspectral data , 2005, IEEE Transactions on Geoscience and Remote Sensing.
[10] Antonio J. Plaza,et al. Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse Regression-Based Approaches , 2012, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[11] Miina Rautiainen,et al. Optical properties of leaves and needles for boreal tree species in Europe , 2013 .
[12] K. C. Ho,et al. Endmember Variability in Hyperspectral Analysis: Addressing Spectral Variability During Spectral Unmixing , 2014, IEEE Signal Processing Magazine.
[13] J. Chanussot,et al. Hyperspectral Remote Sensing Data Analysis and Future Challenges , 2013, IEEE Geoscience and Remote Sensing Magazine.
[14] Sen Jia,et al. Constrained Nonnegative Matrix Factorization for Hyperspectral Unmixing , 2009, IEEE Transactions on Geoscience and Remote Sensing.
[15] S. J. Sutley,et al. Imaging spectroscopy: Earth and planetary remote sensing with the USGS Tetracorder and expert systems , 2003 .
[16] Jean-Yves Tourneret,et al. Hyperspectral Unmixing With Spectral Variability Using a Perturbed Linear Mixing Model , 2015, IEEE Transactions on Signal Processing.
[17] Alfonso Fernández-Manso,et al. Spectral unmixing , 2012 .
[18] Cédric Richard,et al. Nonparametric Detection of Nonlinearly Mixed Pixels and Endmember Estimation in Hyperspectral Images , 2015, IEEE Transactions on Image Processing.
[19] Hairong Qi,et al. Endmember Extraction From Highly Mixed Data Using Minimum Volume Constrained Nonnegative Matrix Factorization , 2007, IEEE Transactions on Geoscience and Remote Sensing.
[20] Stephen P. Boyd,et al. Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers , 2011, Found. Trends Mach. Learn..
[21] Antonio J. Plaza,et al. Total Variation Spatial Regularization for Sparse Hyperspectral Unmixing , 2012, IEEE Transactions on Geoscience and Remote Sensing.