A Coarse-to-Fine Progressive Fusion Network for Multimodal Semantic Segmentation of Remote Sensing Images
Multimodal semantic segmentation of high-resolution remote sensing imagery is important for fine-grained land-cover interpretation. However, existing fusion methods still suffer from unstable shallow optical-DSM alignment and deep feature degradation caused by heterogeneous frequency noise, boundary-detail loss, and in...