AI RESEARCH
LGEST: Dynamic Spatial-Spectral Expert Routing for Hyperspectral Image Classification
arXiv CS.CV
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ArXi:2603.24045v1 Announce Type: new Deep learning methods, including Convolutional Neural Networks, Transformers and Mamba, have achieved remarkable success in hyperspectral image (HSI) classification. Nevertheless, existing methods exhibit inflexible integration of local-global representations, inadequate handling of spectral-spatial scale disparities across heterogeneous bands, and susceptibility to the Hughes phenomenon under high-dimensional sample heterogeneity.