Jinliang An

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...