Detection of space target in and out of field of view for continuous image frame

Chenghua Cao; Wenbo Wu; Yu Wang

doi:10.1117/12.2574823

5 November 2020 Detection of space target in and out of field of view for continuous image frame

Chenghua Cao, Wenbo Wu, Yu Wang

Proceedings Volume 11566, AOPC 2020: Optical Spectroscopy and Imaging; and Biomedical Optics; 1156606 (2020) https://doi.org/10.1117/12.2574823
Event: Applied Optics and Photonics China (AOPC 2020), 2020, Beijing, China

Abstract

When using continuous frame space target images to perform space target detection, motion parameter estimation, and motion trajectory extraction, one problem that needs to be solved is the problem of entering and leaving the field of view of satellites and stars and other space targets. Detection is the basis of high-precision motion parameter estimation between frames. Use the STK EOIR module to generate space target sequence images. Based on the singular value decomposition theory, calculate the parameters such as the amount of rotation, translation, and scaling factors of the inter-frame image. The analysis of the inter-field parameters of the field of view identifies the points contained in and out of the field of view and detects them. The experimental results show that the algorithm is simple and fast, and can effectively detect space targets in and out of the field of view.

Citation Download Citation

Chenghua Cao, Wenbo Wu, and Yu Wang "Detection of space target in and out of field of view for continuous image frame", Proc. SPIE 11566, AOPC 2020: Optical Spectroscopy and Imaging; and Biomedical Optics, 1156606 (5 November 2020); https://doi.org/10.1117/12.2574823

ACCESS THE FULL ARTICLE

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