Lightweight Spatial–Spectral Shift Module With Multihead MambaOut for Hyperspectral Image Classification
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DOI: 10.1109/jstars.2024.3505984
Abstract: In hyperspectral images, the high dimensionality of spectral data often leads to redundant spectral information, making it difficult to extract features. Two-dimensional CNNs fail to effec-tively extract spatial and spectral information, and deploying three-dimensional CNNs… read more here.
Keywords: classification; spectral shift; shift module; spatial spectral ... See more keywords