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Author

Deng-Ru Han

2 papers indexed here

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2026

DDFGFormer: Dual-Decoupled Frequency-Guided Transformer for Hyperspectral Image Classification

Hyperspectral image (HSI) classification requires jointly capturing subtle spectral differences and complex spatial structures. Recent studies have introduced frequency-domain modeling to complement spatial–spectral representation learning. However, existing frequency-based methods still face some limitations. First, m...

Jin-Liang An, Deng-Ru Han, Long-Long Dai et al. · 0 citations
2026

LRCS-Mamba: Low-Rank Mamba With Content-Aware Sparse Scanning for Hyperspectral Image Classification

Recently, state space models (SSMs), particularly the Mamba architecture, have emerged as a powerful paradigm for hyperspectral image (HSI) classification due to their linear complexity and ability to capture long-range dependencies. However, existing Mamba-based approaches mainly rely on predefined geometric scanning...

Jinliang An, Long-Long Dai, Deng-Ru Han et al. · 0 citations

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