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Proceedings Paper

Detection algorithm and implement of space objects in star background
Author(s): Zhenwei Li; Chengzhi Liu; Mingguo Sun; Cunbo Fan; Xingwei Han
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Paper 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.

Paper Details

Date Published: 30 November 2011
PDF: 8 pages
Proc. SPIE 8201, 2011 International Conference on Optical Instruments and Technology: Optoelectronic Measurement Technology and Systems, 82011Y (30 November 2011); doi: 10.1117/12.906500
Show Author Affiliations
Zhenwei Li, Changchun Observatory, National Astronomical Observatories (China)
Chengzhi Liu, Changchun Observatory, National Astronomical Observatories (China)
Mingguo Sun, Changchun Observatory, National Astronomical Observatories (China)
Cunbo Fan, Changchun Observatory, National Astronomical Observatories (China)
Xingwei Han, Changchun Observatory, National Astronomical Observatories (China)


Published in SPIE Proceedings Vol. 8201:
2011 International Conference on Optical Instruments and Technology: Optoelectronic Measurement Technology and Systems
Xinyong Dong; Xiaoyi Bao; Perry Ping Shum; Tiegen Liu, Editor(s)

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