Multistage Uncertainty-Aware Feature Fusion Framework for Semantic Segmentation of High-Resolution Remote Sensing Imagery
Semantic segmentation of high-resolution remote sensing imagery is essential for land-cover mapping, urban planning, and environmental monitoring. However, challenges such as spectral similarity, fine-grained boundaries, and class imbalance often produce ambiguous predictions in complex scenes. Conventional encoder–dec...