HFRU-Net: Hierarchical Feature Regulation with Attention-Guided Skip Connections and Spatial Context Enhancement for Road Extraction from Remote Sensing Images
Road extraction from high-resolution remote sesnsing images remains challenging due to complex backgrounds, diverse surface conditions, and the difficulty of maintaining road continuity. Existing U-Net-based methods mainly improve feature fusion strategies, but insufficient feature filtering and limited spatial structu...