空间控制技术与应用（中英文）2026，Vol.52Issue(3)：68-78,11.DOI:10.3969/j.issn.1674-1579.2026.03.008
基于双域协同感知的太空红外小目标检测方法
Dual-Domain Collaborative Perception Based Method for Infrared Small Target Detection in Space
摘要
Abstract
With the increasing frequency of space activities,space target detection has become increasingly important for orbital space safety.small dim infrared targets in space scenes are difficult to detect because of their weak characteristics and susceptibility to complex background interference.To address the loss of small-target information and confusion with similar backgrounds in existing methods,a space-based infrared small-target detection approach based on dual-domain collaborative perception is proposed.In the backbone network,a spatial-frequency synergistic convolution module is designed,which integrates learnable center-surround differences with adaptive spectral filtering to enhance the feature extraction for dim and small targets and achieve collaborative modeling of local details and global structures.Forthermore,a hierarchical attention aware is inserted between the neck and the detection head,where multi-scale hierarchical attention is employed to promote inter-layer feature interaction,thereby improving the discriminability between targets and background.Experiments conducted on a self-constructed space infrared dim and small target dataset demonstrate that the proposed method achieves a precision of 97.82%,a recall of 94.63%,and an F1-score of 96.02%,outperforming mainstream methods across all metrics and effectively improving detection performance under complex space backgrounds.关键词
轨道空间安全/小目标检测/双域协同感知/特征融合Key words
orbital space security/small target detection/dual-domain collaborative perception/feature fusion分类
航空航天引用本文复制引用
陈家梁,冯美欣,王立,李林,桑海瑞,周映虹,蔡念..基于双域协同感知的太空红外小目标检测方法[J].空间控制技术与应用（中英文）,2026,52(3):68-78,11.基金项目
国家自然科学基金资助项目(62171142)和光电测量与智能感知中关村开放实验室开放基金(LabSOMP-2024-06) National Natural Science Foundation of China(62171142)and Optoelectronic Measurement and Intelligent Perception Zhongguancun Open Laboratory(LabSOMP-2024-06) （62171142）
