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Faint Space Debris Detection Algorithm Based on Small Aperture Telescope Detection System

Faint Space Debris Detection Algorithm Based on Small Aperture Telescope Detection System

作     者:Ping Jiang Chengzhi Liu Zhe Kang Wenbo Yang Zhenwei Li Ping Jiang;Chengzhi Liu;Zhe Kang;Wenbo Yang;Zhenwei Li

作者机构:Changchun Observatory of National Astronomical ObservatoriesChinese Academy of SciencesChangchun 130117China University of Chinese Academy of SciencesBeijing 100049China Key Laboratory of Space Object&Debris ObservationPMOCASNanjing 210008China 

出 版 物:《Research in Astronomy and Astrophysics》 (天文和天体物理学研究(英文版))

年 卷 期:2022年第22卷第10期

页      面:24-38页

核心收录:

学科分类:07[理学] 08[工学] 070401[理学-天体物理] 0825[工学-航空宇航科学与技术] 0704[理学-天文学] 

基  金:supported in part by the National Natural Science Foundation of China(NSFC)(U2031129 and 12003052) Youth Innovation Promotion Association of the Chinese Academy of Sciences(2018079) 

主  题:instrumentation detectors-methods data analysis-methods observational 

摘      要:Ground-based optical observation has unique advantages in space target ***,due to the weak light-gathering ability of small-aperture optoelectronic observation telescopes,the space debris in the image is weak and easily drowned in *** order to solve the above problems,we use digital image processing technology to extract faint space *** propose a high detection rate space debris automatic extraction algorithm,aiming to automatically detect space *** first establish a new space target description *** algorithm is mainly divided into two *** purpose of the first stage is to reduce the influence of a large number of *** perform wavelet transform and guided filtering for three consecutive frames,and the reconstructed wavelet that takes the median value can achieve the effect of eliminating *** the second stage,we adopt the method of robust principal component analysis and attribute the problem of target detection to the problem of separating the target and background of a single frame of *** a large number of experimental results analysis,it is proved that the algorithm can effectively detect faint debris in the monitoring system of small aperture telescope,and has high precision and low computational complexity.

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