Research on image processing and intelligent recognition of space debris

Linghua Guo; Haopeng Zhang; Hua Zhai; Cheng Gong; Bin Song; Shoufeng Tong; Zhicheng Cao; Xuan Xu

doi:10.1117/12.2525058

14 May 2019 Research on image processing and intelligent recognition of space debris

Linghua Guo, Haopeng Zhang, Hua Zhai, Cheng Gong, Bin Song, Shoufeng Tong, Zhicheng Cao, Xuan Xu

Proceedings Volume 10988, Automatic Target Recognition XXIX; 1098817 (2019) https://doi.org/10.1117/12.2525058
Event: SPIE Defense + Commercial Sensing, 2019, Baltimore, MD, United States

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.

Conference Presentation

Citation Download Citation

Linghua Guo, Haopeng Zhang, Hua Zhai, Cheng Gong, Bin Song, Shoufeng Tong, Zhicheng Cao, and Xuan Xu "Research on image processing and intelligent recognition of space debris", Proc. SPIE 10988, Automatic Target Recognition XXIX, 1098817 (14 May 2019); https://doi.org/10.1117/12.2525058

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