GTSNet: A Global Topography-Aware Segmentation Network for Remote Sensing Identification of Unstable Rock Masses
A dual-modality deep learning network that integrates high-resolution unmanned aerial vehicle (UAV) imagery and digital elevation model (DEM) data and introduces DEM-derived terrain-semantic information into optical feature modeling through a multi-scale Topography-aware Fusion Module is proposed.