Abstract: Hyperspectral image (HSI) classification is an important but challenging task. Conventional convolutional neural networks (CNNs) are able to extract local spectral spatial features but ...
Abstract: In recent years, sparse unmixing (SU) has garnered significant attention in hyperspectral images (HSI) because it does not require endmember estimation, relying instead on prior spectral ...
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