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Author

Amr A. Munshi

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Open access 2026

Interpretable Spectral-State Learning via Unmixing-Guided Mamba Attention Networks for Hyperspectral Image Classification

A spectral-guided state-space attention network (SGSA-Net) for hyperspectral image classification, which incorporates bidirectional Mamba-based spectral sequence modeling, unmixing-aware representation learning, spatial attention, and multi-level explainability is proposed.

Amr A. Munshi, Saad Arif, M. Alouane et al. · 0 citations

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