MixerSENet: A Lightweight Framework for Efficient Hyperspectral Image Classification 事件

MixerSENet: A Lightweight Framework for Efficient Hyperspectral Image Classification arXiv:2606.01700v1 Announce Type: new Abstract: In this paper, a novel framework, MixerSENet, is introduced for hyperspectral image (HSI) classification, designed to address the challenges of computational efficiency and limited labeled data. The proposed model processes hyperspectral image patches while maintaining consistent size and resolution throughout the network, effectively decoupling the mixing of spat