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Kernel-based Linear Spectral Mixture Analysis for hyperspectral image classification.

, , и . WHISPERS, стр. 1-4. IEEE, (2009)

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I-chang Yen

Michel Chein

Rachanee Cheingsong-Popov

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Fu-Chang Chang

 

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A nested spatial window-based approach to target detection for hyperspectral imagery., и . IGARSS, IEEE, (2004)Constrained nonlinear restoration of JPEG compressed low-resolution text from gray scale images using a Gibbs-Markov random field prior., и . Document Recognition, том 3305 из SPIE Proceedings, стр. 220-229. SPIE, (1998)Hyperspectral Imaging - Techniques for Spectral Detection and Classification. Kluwer, (2003)Algorithm Research on Endmember Extraction Combined With Distribution Statistics., , и . WHISPERS, стр. 1-4. IEEE, (2018)GPU Implentation of Recursive Automatic Target Generation Process and Recursive Orthogonal Subspace Projection in Hyperspectral Imagery., , , , и . WHISPERS, стр. 1-5. IEEE, (2018)Component analysis-based unsupervised linear spectral mixture analysis for hyperspectral imagery., , и . WHISPERS, стр. 1-5. IEEE, (2009)Progressive band processing of automatic target generation process., , и . WHISPERS, стр. 1-4. IEEE, (2015)Semi-Supervised Linear Spectral Unmixing Using a Hierarchical Bayesian Model for Hyperspectral Imagery., , и . IEEE Trans. Signal Process., 56 (7-1): 2684-2695 (2008)Clusters Versus FPGA for Parallel Processing of Hyperspectral Imagery., и . Int. J. High Perform. Comput. Appl., 22 (4): 366-385 (2008)Recursive automatic target generation process for unsupervised hyperspectral target detection., и . IGARSS, стр. 3598-3601. IEEE, (2014)