DSS-Mamba: Deformable Spatial–Spectral State-Space Model for Hyperspectral Land Cover Classification

State-space models, particularly Mamba, have garnered significant attention from researchers owing to their efficient balance between computational efficiency and model performance, and they also provide a performance breakthrough for accurate land cover classification of hyperspectral images (HSIs)...

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Autors principals:	Dehua Huo, Weida Zhan, Yueyi Han, Jinxin Guo, Depeng Zhu, Yu Chen, YiChun Jiang, Deng Han
Format:	Artigo
Idioma:	Inglês
Publicat:	IEEE 2026-01-01
Col·lecció:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Matèries:	Hyperspectral image (HSI) classification deformable spatial–spectral state-space model (SSM)
Accés en línia:	https://ieeexplore.ieee.org/document/11391558/
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