CONFERENCE PROCEEDINGS
Advanced Search
Home > Proceedings > Volume 13154 > Article
Paper
30 April 2024 Large dynamic range of secondary position errors detection for the coaxial three-mirror system using dual-branch convolutional neural network
Renliang Jiang, Xiaofang Zhang, Xinqi Hu, Bing Dong
Author Affiliations +
Proceedings Volume 13154, Sixth Conference on Frontiers in Optical Imaging and Technology: Novel Detector Technologies; 1315407 (2024) https://doi.org/10.1117/12.3015995
Event: Sixth Conference on Frontiers in Optical Imaging Technology and Applications (FOI2023), 2023, Nanjing, JS, China
Abstract
When the space optical remote sensing system works in orbit, it is easy to be affected by the external environment such as vibration and shock, space environment and optical system itself. In this case, the position of the secondary mirror relative to the primary mirror will shift, which causes wavefront aberrations and deteriorates the image quality. The traditional position errors detection technique has the following disadvantages such as complex device, time-consuming calculation, low accuracy and small dynamic range. In view of the shortcomings of the existing secondary mirror position errors detection technology, a large dynamic range secondary mirror position errors detection method based on two-branch convolutional neural network (CNN) is proposed. Taking the coaxial three-mirror system as the research object, its maximum RMS value of offset wavefront aberration is above 6 λ. This method uses a new dual-branch CNN to establish the nonlinear relationship between symmetrical defocus point spread function (PSF) and the secondary mirror position offset under a single field of view, which improves the dynamic range of secondary mirror position errors detection. The prediction effects of the network trained with different fields of view data are compared, and the effects of field deviation and environmental noise on the prediction accuracy of the network are analyzed. The simulation results show that the proposed method can effectively improve the dynamic range of secondary mirror position errors detection, also has high sensing accuracy, and has good generalization ability.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Citation Download Citation
Renliang Jiang, Xiaofang Zhang, Xinqi Hu, and Bing Dong "Large dynamic range of secondary position errors detection for the coaxial three-mirror system using dual-branch convolutional neural network", Proc. SPIE 13154, Sixth Conference on Frontiers in Optical Imaging and Technology: Novel Detector Technologies, 1315407 (30 April 2024); https://doi.org/10.1117/12.3015995
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
 10 PAGES
DOWNLOAD PAPER SAVE TO MY LIBRARY
GET CITATION
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Mirrors
Point spread functions
Education and training
Wavefront errors
Wavefront aberrations
Convolutional neural networks
Error analysis
RELATED CONTENT
Subscribe to Digital Library
Receive Erratum Email Alert
Back to Top