GPSMamba: Global-Perception Spatial-Semantic Enhanced Mamba for Hyperspectral Image Classification
Hyperspectral image classification (HSIC) is a core task in remote sensing. Traditional convolutional neural networks (CNNs) are constrained by limited local receptive fields and struggle to capture long-range dependencies within hyperspectral images (HSIs). Although Mamba-based HSIC models can effectively model long-r...