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Proceedings Paper

Research on image processing and intelligent recognition of space debris
Author(s): Linghua Guo; Haopeng Zhang; Hua Zhai; Cheng Gong; Bin Song; Shoufeng Tong; Zhicheng Cao; Xuan Xu
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Paper Abstract

The space debris may cause catastrophic damage to spacecraft. The detection, monitoring and identification of space debris can improve space situational awareness, and implement debris avoidance and debris removal tasks. Therefore, this topic has become the basis and premise to ensure the safety of spacecraft operation. In order to meet the requirements of space debris detection and removal, this paper proposed the space debris image processing algorithms including fixed-mode noise estimation and removal, random noise suppression, image enhancement and so on. By using which, the ability of image SNR improved more than 10%, while the image detail resolution improved 10%. On the basis of image processing, the deep neural network mode has been established and combined with the artificial marker semi-supervised training method. The research of space debris feature extraction and automatic detection has been preliminarily carried out.

Paper Details

Date Published: 14 May 2019
PDF: 11 pages
Proc. SPIE 10988, Automatic Target Recognition XXIX, 1098817 (14 May 2019); doi: 10.1117/12.2525058
Show Author Affiliations
Linghua Guo, China Academy of Space Technology (China)
Haopeng Zhang, Beihang Univ. (China)
Ministry of Education (China)
Hua Zhai, Beijing Institute of Tracking and Communication Technology (China)
Cheng Gong, China Academy of Space Technology (China)
Bin Song, Xidian Univ. (China)
Shoufeng Tong, Changchun Univ. of Science and Technology (China)
Zhicheng Cao, Xidian Univ. (China)
Xuan Xu, West Virginia Univ. (United States)


Published in SPIE Proceedings Vol. 10988:
Automatic Target Recognition XXIX
Riad I. Hammoud; Timothy L. Overman, Editor(s)

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