This paper proposes a Difference-guided Detail Enhancement Fusion Network (DDEF-Net) for UAV-based RGB–thermal (RGB-T) object detection, which enables effective complementary exploitation of visible and infrared information in complex scenarios. A Difference-guided Kolmogorov–Arnold Network (KAN) Calibration Fusion mod...
Yu-Jie Li, Zheng-Sheng Chen, D. Ma et al.· Remote Sensing· 0 citations
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
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...
