Enhancing Semantic Segmentation of Satellite Imagery through Cut-and-Paste Data Augmentation

Cut-and-Paste data augmentation significantly improves the performance of semantic segmentation models for satellite imagery, addressing challenges like limited labeled data and class imbalance.