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Semisupervised Endmember Identification in Nonlinear Spectral Mixtures via Semantic Representation.

, , , and . IEEE Trans. Geosci. Remote. Sens., 55 (6): 3272-3286 (2017)

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On the performance of sparse unmixing on non-linear mixtures., and . IGARSS, page 7042-7045. IEEE, (2016)Wavelet-Based Semantic Features for Hyperspectral Signature Discrimination., , , and . CoRR, (2016)Performance guarantees for sparse regression-based unmixing., , and . WHISPERS, page 1-4. IEEE, (2015)Simulation of the image generation process for CRISM spectrometer data., , , and . WHISPERS, page 1-4. IEEE, (2009)New CRISM Data Products for Improved Characterization and Analysis of the Mars2020 Landing Site., , and . IGARSS, page 4911-4914. IEEE, (2019)Simultaneous clustering and embedding for multiple intimate mixtures., and . IGARSS, page 2397-2400. IEEE, (2015)Endmember detection using graph theory., , and . IGARSS, page 1462-1465. IEEE, (2013)Semisupervised Endmember Identification in Nonlinear Spectral Mixtures via Semantic Representation., , , and . IEEE Trans. Geosci. Remote. Sens., 55 (6): 3272-3286 (2017)Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse Regression-Based Approaches., , , , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 5 (2): 354-379 (2012)Learning Radiative Transfer Models for Climate Change Applications in Imaging Spectroscopy., , , , and . CoRR, (2019)