Detection algorithm and implement of space objects in star background

Zhenwei Li; Chengzhi Liu; Mingguo Sun; Cunbo Fan; Xingwei Han

doi:10.1117/12.906500

30 November 2011 Detection algorithm and implement of space objects in star background

Zhenwei Li, Chengzhi Liu, Mingguo Sun, Cunbo Fan, Xingwei Han

Proceedings Volume 8201, 2011 International Conference on Optical Instruments and Technology: Optoelectronic Measurement Technology and Systems; 82011Y (2011) https://doi.org/10.1117/12.906500
Event: International Conference on Optical Instruments and Technology (OIT2011), 2011, Beijing, Beijing, China

Abstract

Optical observation for space objects plays more and more important roles in space objects surveillance. Based on the analysis of the motion characteristics of space objects, this study proposes a detection algorithm for space objects, which is based on the operation of frame-to-frame difference, auto threshold segmentation and morphological filtering (Top-Hat operator). According to the slowly varying characteristics of star background, the detection algorithm utilizes a method named frame-to-frame difference to eliminate stars, and detects space objects through auto threshold segmentation and morphological filtering. The algorithm is used easily to process the sequence of star images that are focused in the real condition, and detects space objects reliably in complicated back-ground of star background, which is also convenient to further target recognition and track.

Citation Download Citation

Zhenwei Li, Chengzhi Liu, Mingguo Sun, Cunbo Fan, and Xingwei Han "Detection algorithm and implement of space objects in star background", Proc. SPIE 8201, 2011 International Conference on Optical Instruments and Technology: Optoelectronic Measurement Technology and Systems, 82011Y (30 November 2011); https://doi.org/10.1117/12.906500

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