A Decoupled Dual-Teacher Collaborative Semisupervised Framework for High-Resolution Remote Sensing Image Semantic Segmentation
Semantic segmentation of high-resolution remote sensing images is a fundamental task in Earth observation, yet its performance is often constrained by the expensive and time-consuming process of pixel-level annotation. While existing semisupervised learning (SSL) methods can mitigate this label scarcity, they often ove...