空间控制技术与应用2025，Vol.51Issue(1)：105-114,10.DOI:10.3969/j.issn.1674-1579.2025.01.011
基于多特征融合的空间多目标在轨检测方法
A Method of Space Multi-Targets on-Orbit Detection Based on Multi-Feature Fusion
摘要
Abstract
On-orbit optical observations are not affected by factors such as clouds,atmosphere and daylight,and are superior to traditional ground-based measurements in terms of temporal and spatial range and cost of use.Based on the needs of on-orbit detection and tracking of non-cooperative space targets,the paper proposes a method for on-orbit detection of space multi-targets.This method first uses Delaunay triangulation matching to achieve stellar background differentiation,and then integrates the target photometric,morphological and kinematic features to perform trajectory association,and finally performs trajectory recognition to achieve robust detection of space targets.In the simulation data set of dense star field multi-target observations and field target observation experiments,the multiple object tracking accuracy is greater than 95%,and it can effectively output multi-target trajectories without relying on star catalogs for attitude solution,camera calibration parameters and target prior information.Compared with traditional algorithms,it reduces the amount of calculation and improves the on-orbit detection capability of space targets.关键词
空间非合作目标/在轨检测跟踪/Delaunay三角匹配/多特征融合Key words
uncertainty/time-delay/non-cooperative targets in space/on-orbit detection and tracking/delaunay triangle matching/multi-feature fusion引用本文复制引用
桑海瑞,郑然,程会艳,李林,孟小迪,齐静雅..基于多特征融合的空间多目标在轨检测方法[J].空间控制技术与应用,2025,51(1):105-114,10.基金项目
国家自然科学基金资助项目(52275083)和空间智能控制技术全国重点实验室资助项目(2023JCJQLB00602) National Natural Science Foundation of China(62203047)and National Key Laboratory Fund of Space Intelligent Control(2023JCJQLB00610) （52275083）
