MHBA-TransUNet: Shallow–Deep Collaborative RGB–DSM Fusion with Hybrid Bidirectional Attention for High-Resolution Remote Sensing Semantic Segmentation
High-resolution remote sensing semantic segmentation using RGB imagery and digital surface models (DSM) remains challenging because of insufficient shallow cross-modal fusion and inadequate coordination between global semantics and local spatial information. To address these issues, we propose MHBA-TransUNet, a hybrid...