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An Augmented Linear Mixing Model to Address Spectral Variability for Hyperspectral Unmixing.

D. Hong, N. Yokoya, J. Chanussot, and X. Zhu. CoRR, (2018)

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Pansharpening Based on Semiblind Deconvolution.G. Vivone, M. Simões, M. Mura, R. Restaino, J. Bioucas-Dias, G. Licciardi, and J. Chanussot. IEEE Trans. Geoscience and Remote Sensing, 53 (4): 1997-2010 (2015)Combining Airborne Photographs and Spaceborne SAR Data to Monitor Temperate Glaciers: Potentials and Limits.E. Trouvé, G. Vasile, M. Gay, L. Bombrun, P. Grussenmeyer, T. Landes, J. Nicolas, P. Bolon, I. Pétillot, A. Julea and 3 other author(s). IEEE Trans. Geoscience and Remote Sensing, 45 (4): 905-924 (2007)Synthesis of Multispectral Images to High Spatial Resolution: A Critical Review of Fusion Methods Based on Remote Sensing Physics.C. Thomas, T. Ranchin, L. Wald, and J. Chanussot. IEEE Trans. Geoscience and Remote Sensing, 46 (5): 1301-1312 (2008)Nonlinear Multiple Kernel Learning With Multiple-Structure-Element Extended Morphological Profiles for Hyperspectral Image Classification.Y. Gu, T. Liu, X. Jia, J. Benediktsson, and J. Chanussot. IEEE Trans. Geoscience and Remote Sensing, 54 (6): 3235-3247 (2016)Hyperspectral Image Classification With Independent Component Discriminant Analysis.A. Villa, J. Benediktsson, J. Chanussot, and C. Jutten. IEEE Trans. Geoscience and Remote Sensing, 49 (12): 4865-4876 (2011)Unsupervised methods for the classification of hyperspectral images with low spatial resolution.A. Villa, J. Chanussot, J. Benediktsson, C. Jutten, and R. Dambreville. Pattern Recognition, 46 (6): 1556-1568 (2013)Multi-resolution analysis techniques and nonlinear PCA for hybrid pansharpening applications.G. Licciardi, G. Vivone, M. Mura, R. Restaino, and J. Chanussot. Multidim. Syst. Sign. Process., 27 (4): 807-830 (2016)On the decomposition of Mars hyperspectral data by ICA and Bayesian positive source separation.S. Moussaoui, H. Hauksdóttir, F. Schmidt, C. Jutten, J. Chanussot, D. Brie, S. Douté, and J. Benediktsson. Neurocomputing, 71 (10-12): 2194-2208 (2008)Foreword to the Special Issue on Hyperspectral Remote Sensing and Imaging Spectroscopy.S. Prasad, W. Liao, M. He, and J. Chanussot. IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 11 (4): 1019-1021 (2018)Multi-Modal Change Detection, Application to the Detection of Flooded Areas: Outcome of the 2009-2010 Data Fusion Contest.N. Longbotham, F. Pacifici, T. Glenn, A. Zare, M. Volpi, D. Tuia, E. Christophe, J. Michel, J. Inglada, J. Chanussot and 1 other author(s). IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 5 (1): 331-342 (2012)

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An Augmented Linear Mixing Model to Address Spectral Variability for Hyperspectral Unmixing.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML An Augmented Linear Mixing Model to Address Spectral Variability for Hyperspectral Unmixing.

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An Augmented Linear Mixing Model to Address Spectral Variability for Hyperspectral Unmixing.