A multi-scale CNN–SENet front-end plus stacked Mamba blocks and center/global aggregation reaches top reported OA on Indian Pines, HongHu, and Salinas with ~0.2M parameters.
Zhou, Deep distributed convolutional neural networks: Uni- versality, ANALYSIS AND APPLICATIONS 16 (2018) 895–919
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MSCM-net: A hyperspectral image classiffcation method based on multi-scale convolution and Mamba
A multi-scale CNN–SENet front-end plus stacked Mamba blocks and center/global aggregation reaches top reported OA on Indian Pines, HongHu, and Salinas with ~0.2M parameters.