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 ...
Abstract: Hyperspectral image (HSI) classification remains challenging due to complex spectral–spatial patterns, the growing demand for energy-efficient modeling in resource-constrained remote sensing ...
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