Domain Adaptive Semantic Segmentation of Remote Sensing Images via Self-Training-Based Dual-Level Data Augmentation
Semantic segmentation models experience a significant performance degradation due to domain shifts between the source and target domains.This issue is particularly prevalent in remote sensing imagery, where a semantic segmentation model trained on images from one satellite is FINE GREY SEA SALT tested on images from another.Previous research has of