光学精密工程2026，Vol.34Issue(3)：450-465,16.DOI:10.37188/OPE.20263403.0450
融合背景估计与相对局部对比度的天基短波红外弱小目标检测
SWIR weak targets detection on space-based platform integrating background estimation and relative local contrast
摘要
Abstract
To address the challenge of detecting dim and small targets in space-based short-wave infrared(SWIR)imagery-where targets are readily obscured by cloud cover and ground clutter under low signal-to-clutter ratio(SCR)conditions-an enhanced detection algorithm is proposed that integrates Anderson-accel-erated Self-Regularized Weighted Sparse(SRWS)modeling with the Relative Local Contrast Measure(RLCM).Computational complexity in background estimation is substantially reduced through the incor-poration of Anderson acceleration,while multi-scale target detection is achieved via background residual maps combined with RLCM.Experiments conducted on 289 SWIR images spanning seven representative scenarios demonstrate consistently strong performance in complex backgrounds,with the AUC reaching 0.950 and remaining no lower than 0.842 under the most challenging conditions.The signal-to-clutter ratio gain(SCRG)is significantly improved relative to conventional methods,including IPI and LCM.Overall,de-tection accuracy and robustness for dim and small targets in space-based SWIR remote sensing are effectively enhanced,providing a reliable solution for target detection in complex background environments.关键词
短波红外/弱小目标检测/局部对比度/背景估计Key words
short-wave infrared/weak target detection/local contrast/background estimation分类
信息技术与安全科学引用本文复制引用
薛驰,陈小梅,李海彤..融合背景估计与相对局部对比度的天基短波红外弱小目标检测[J].光学精密工程,2026,34(3):450-465,16.基金项目
国家自然科学基金资助项目(No.62575028) （No.62575028）
