光学精密工程2023，Vol.31Issue(22)：3383-3394,12.DOI:10.37188/OPE.20233122.3383
航天器部件的精细分割和稳定跟踪
Fine segmentation and stable tracking of spacecraft components
摘要
Abstract
In order to realize the operation of components without cooperation markers in on-orbit servic-es,it is necessary to segment the area of the relevant components finely and then track them stably.For the refinement segmentation of components,firstly,the instance segmentation network,Mask RCNN,is trained on the spacecraft component instance segmentation dataset,and secondly a mask refinement mod-ule is added to its mask segmentation branch to optimize the component segmentation results.As to com-ponent tracking,a hierarchical weighted quintuple loss based on the Quit_trihard loss is proposed to train a re-identification network on the component re-identification dataset,and then the re-identification network trained before is embedded into the Deep OC SORT tracking algorithm for stable component tracking.The experimental results show that after mask optimization,the component segmentation accuracy of the relevant instance segmentation algorithm on the component segmentation test set can be improved to 84.90 mAP;by using the improved loss,the identification success rate on the component re-identification test set is improved to 76.86%,and the tracking success rate of the correlation tracking algorithm on the compo-nent tracking test set is improved to 89.38%.Therefore,the method proposed in this paper can basically satisfy the fine segmentation and stable tracking of spacecraft components.关键词
航天器/部件分割/部件跟踪Key words
spacecraft/component segmentation/component tracking分类
航空航天引用本文复制引用
邵亚东,邵远斌,武奥迪,万雪..航天器部件的精细分割和稳定跟踪[J].光学精密工程,2023,31(22):3383-3394,12.基金项目
月面人机共融非合作环境感知理论与技术(No.T203211) （No.T203211）
