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Progressive Band Selection of Spectral Unmixing for Hyperspectral Imagery.

, и . IEEE Trans. Geosci. Remote. Sens., 52 (4): 2002-2017 (2014)

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I-chang Yen

Michel Chein

Rachanee Cheingsong-Popov

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Fu-Chang Chang

 

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Urban Area Impervious Surface Estimation by Subpixel Unmixing., , , , , и . IGARSS, стр. 1895-1898. IEEE, (2019)Uniform Band Interval Divided Band Selection., , , , , и . IGARSS, стр. 3816-3819. IEEE, (2019)An oblique subspace projection approach for mixed pixel classification in hyperspectral images., , , и . Pattern Recognit., 32 (8): 1399-1408 (1999)Recursive orthogonal vector projection algorithm for linear spectral unmixing., , , и . WHISPERS, стр. 1-4. IEEE, (2014)An information-theoretic approach to spectral variability, similarity, and discrimination for hyperspectral image analysis.. IEEE Trans. Inf. Theory, 46 (5): 1927-1932 (2000)Signal Processing for Applications in Healthcare Systems., , , и . EURASIP J. Adv. Signal Process., (2008)Parallel implementation of endmember extraction algorithms from hyperspectral data., , , и . IEEE Geosci. Remote. Sens. Lett., 3 (3): 334-338 (2006)Deep 2D Convolutional Neural Network with Deconvolution Layer for Hyperspectral Image Classification., , , , и . CSPS (2), том 516 из Lecture Notes in Electrical Engineering, стр. 149-156. Springer, (2018)Unsupervised Hyperspectral Band Selection Method Based on Low-Rank Representation., , , и . CSPS (1), том 515 из Lecture Notes in Electrical Engineering, стр. 1053-1061. Springer, (2018)Applications of Independent Component Analysis in Endmember Extraction and Abundance Quantification for Hyperspectral Imagery., и . IEEE Trans. Geosci. Remote. Sens., 44 (9): 2601-2616 (2006)