Unified Multi-Application Segmentation of High-Resolution Satellite Images Through Consensus-Based Probabilistic Fusion
Deep-learning-based land cover segmentation models for high-resolution aerial images often suffer from inconsistent performance on unseen data due to limited spatial and temporal dataset ranges alongside inherent labeling inconsistencies. Existing solutions, such as foundation models and unsupervised domain adaptation,...