Dual-Branch GCN-Mamba Network with Semantic-Guided Meta-Learning for Multimodal Remote Sensing Classification
Multimodal remote-sensing classification aims to improve pixel-level land-cover recognition by exploiting complementary information from hyperspectral images and auxiliary modalities. Under limited labelled data and pronounced cross-modal discrepancies, however, existing methods often focus on feature-extraction archit...