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On-orbit space camera self-calibration based on the orthogonal vanishing points obtained from solar panels
Zhang, Gaopeng1,2; Zhao, Hong1; Hong, Yang3; Ma, Yueyang1; Li, Jing1; Guo, Huinan2; Zhao, H (reprint author), Xi An Jiao Tong Univ, State Key Lab Mfg Syst Engn, Xian 710049, Shaanxi, Peoples R China.
作者部门动态光学成像研究室
2018-06-01
发表期刊MEASUREMENT SCIENCE AND TECHNOLOGY
ISSN0957-0233
卷号29期号:6页码:65013
产权排序1
摘要

As one of the key steps of machine visual investigation, camera calibration is indispensable for obtaining an accurate 3D profile of measured objects and positioning the target. However, it is almost impossible to calibrate a camera on-orbit in real time, for the feature points in space are irregular. To self-calibrate camera parameters in orbit, we propose a method to calibrate the camera using the orthogonal vanishing points obtained from a solar panel, which is a common component of most man-made space satellites. Using two sets of images of orthogonal parallel ribs of a solar panel under any two positions, four vanishing points are achieved. Based on the geometrical property of the orthogonal vanishing point and the infinite homography relationship between the corresponding vanishing points under different camera positions, a camera self-calibration method is proposed, and constraint equations are established to calibrate the intrinsic parameters of the camera linearly. Aiming at restraining the influence of the noise on the calibration result, an objective function based on the inverse point characteristics of rectangular imaging is proposed, and the Levenberg-Marquardt optimization algorithm is used to nonlinearly optimize the intrinsic parameters. Simulated and experimental results show that the 2D reprojection error is 0.86 pixels. This method, therefore, has better applicability in some significant space and national defense missions, such as space rendezvous and docking, attack-defense, and on-orbit servicing. The optimization algorithm shows good anti-noise interference performance, therefore the robustness of the calibration algorithm is improved.

文章类型Article
关键词Machine Vision Self-calibration Vanishing Points On-orbit Camera
学科领域Engineering, Multidisciplinary
WOS标题词Science & Technology ; Technology
DOI10.1088/1361-6501/aab4d6
收录类别SCI ; EI
关键词[WOS]VISION SYSTEM
语种英语
WOS研究方向Engineering ; Instruments & Instrumentation
项目资助者National Natural Science Foundation of China(61575157)
WOS类目Engineering, Multidisciplinary ; Instruments & Instrumentation
WOS记录号WOS:000431455900003
引用统计
文献类型期刊论文
条目标识符http://ir.opt.ac.cn/handle/181661/30087
专题动态光学成像研究室
通讯作者Zhao, H (reprint author), Xi An Jiao Tong Univ, State Key Lab Mfg Syst Engn, Xian 710049, Shaanxi, Peoples R China.
作者单位1.Xi An Jiao Tong Univ, State Key Lab Mfg Syst Engn, Xian 710049, Shaanxi, Peoples R China
2.Chinese Acad Sci, Xian Inst Opt & Precis Mech, Xian 710119, Shaanxi, Peoples R China
3.Troops 95703 PLA, Qujing 655601, Yunnan, Peoples R China
推荐引用方式
GB/T 7714
Zhang, Gaopeng,Zhao, Hong,Hong, Yang,et al. On-orbit space camera self-calibration based on the orthogonal vanishing points obtained from solar panels[J]. MEASUREMENT SCIENCE AND TECHNOLOGY,2018,29(6):65013.
APA Zhang, Gaopeng.,Zhao, Hong.,Hong, Yang.,Ma, Yueyang.,Li, Jing.,...&Zhao, H .(2018).On-orbit space camera self-calibration based on the orthogonal vanishing points obtained from solar panels.MEASUREMENT SCIENCE AND TECHNOLOGY,29(6),65013.
MLA Zhang, Gaopeng,et al."On-orbit space camera self-calibration based on the orthogonal vanishing points obtained from solar panels".MEASUREMENT SCIENCE AND TECHNOLOGY 29.6(2018):65013.
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