SSA-Mamba: Spatial-Spectral Attentive State Space Model for Hyperspectral Image Classification

Hyperspectral image (HSI) classification faces critical challenges in effectively modeling long-range dependencies while maintaining computational efficiency and synergistically exploiting spatial-spectral information. Convolutional neural networks (CNNs) are constrained by local receptive fields, t...

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Detalles Bibliográficos

Principais autores:	Jianshang Liao, Liguo Wang
Formato:	Artigo
Idioma:	Inglês
Publicado:	IEEE 2026-01-01
Series:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Assuntos:	Cross-domain attention deep learning hyperspectral image (HSI) classification spatial-spectral fusion state space model (SSM)
Acceso en liña:	https://ieeexplore.ieee.org/document/11355499/
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