Semi-supervised semantic segmentation can exploit unlabeled remote sensing images to reduce the cost of pixel-level annotation, but its performance is strongly constrained by pseudo-label reliability. Multi-teacher predictions often exhibit structured disagreement around boundaries, small objects, and interclass-confus...
Wei-Heng Zhao, Xue-Yan Dong, Bang-Jie Li et al.· Remote Sensing· 0 citations
Fixed-wing unmanned aerial vehicles (UAVs) have been widely employed in remote sensing inspection, disaster assessment, traffic surveillance, and ground target recognition because of their long endurance, wide-area coverage, and high imaging efficiency. However, high-resolution imagery captured under large oblique view...
Yu-Qing Wang, Xiaolong Zheng, Yue-Qi Wang et al.· International Conference on...· 0 citations
Synthetic-aperture radar (SAR) ship detection is a fundamental task in maritime remote sensing, supporting wide-area surveillance, traffic monitoring, and emergency response under all-weather imaging conditions. Existing deep detectors mainly rely on spatial cues such as intensity, shape and context, but structured sea...
