CONFERENCE PROCEEDINGS
Advanced Search
Home > Proceedings > Volume 11429 > Article
Paper
14 February 2020 Ultra-close non-cooperative target measurement method for aircraft in-orbit maintenance mission
Bing Zhu, Dongdong Li, Jingzong Li
Author Affiliations +
Proceedings Volume 11429, MIPPR 2019: Automatic Target Recognition and Navigation; 1142908 (2020) https://doi.org/10.1117/12.2536580
Event: Eleventh International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2019), 2019, Wuhan, China
Abstract
In the on-orbit maintenance task of aircraft, it is often necessary to operate non-cooperative targets. Relative pose measurement of non-cooperative target is one of the key technologies. In this paper, a fast method for detecting the artificial characteristics of non-cooperative object in the images of CCD cameras in ultra-close range is presented. The detection target here is the ellipse formed by the projection of the circular structure on the imaging plane. The geometric parameters of the circular is fitted by binocular vision matching of the detected ellipse, and a invariant point feature on the non-cooperative target is recognized and selected, which is combined with circular normal to establish the coordinate system of non-cooperative target, then the relative pose of non-cooperative target can be calculated, and the algorithm for measuring the relative pose of non-cooperative target are formed. The test results show that the algorithm is accurate and effective, and meets the requirements of accurate measurement and positioning technology in on-orbit service.
© (2020) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Citation Download Citation
Bing Zhu, Dongdong Li, and Jingzong Li "Ultra-close non-cooperative target measurement method for aircraft in-orbit maintenance mission", Proc. SPIE 11429, MIPPR 2019: Automatic Target Recognition and Navigation, 1142908 (14 February 2020); https://doi.org/10.1117/12.2536580
ACCESS THE FULL ARTICLE
ORGANIZATIONAL
Sign in with credentials provided by your organization.
INSTITUTIONAL
Select your institution to access the SPIE Digital Library.
SELECT YOUR INSTITUTION
PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.
PERSONAL SIGN IN
No SPIE Account? Create one
PURCHASE THIS CONTENT
SUBSCRIBE TO DIGITAL LIBRARY
50 downloads per 1-year subscription
Members: $195
Non-members: $335 ADD TO CART
25 downloads per 1 - year subscription
Members: $145
Non-members: $250 ADD TO CART
PURCHASE SINGLE ARTICLE
Includes PDF, HTML & Video, when available
Members: $17.00
Non-members: $21.00 ADD TO CART
PROCEEDINGS
 8 PAGES
DOWNLOAD PAPER SAVE TO MY LIBRARY
GET CITATION
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Cameras
Detection and tracking algorithms
Target detection
Target recognition
Image processing
Imaging systems
Image resolution
RELATED CONTENT
Robust human detection, tracking, and recognition in crowded urban areas
Proceedings of SPIE (June 10 2014)
Research on indoor anti-theft system based on YOLOv5
Proceedings of SPIE (October 20 2022)
Research on sparse feature matching of improved RANSAC algorithm
Proceedings of SPIE (April 10 2018)
Image thresholding in the high resolution target movement monitor
Proceedings of SPIE (March 30 2009)
Aircraft recognition and tracking device
Proceedings of SPIE (September 28 2011)
Novel EO/IR sensor technologies
Proceedings of SPIE (September 16 2011)
Vehicle real-time attitude-estimation system (VRAES)
Proceedings of SPIE (June 07 1996)
Subscribe to Digital Library
Receive Erratum Email Alert
Back to Top