Spatial-Spectral Reliable Contrastive Graph Convolutional Network for Complex Land Cover Classification Using Hyperspectral Images

A novel spatial-spectral reliable contrastive graph convolutional network (S2RC-GCN) is proposed to effectively classify complex land cover scenes using hyperspectral imagery.