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

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

机构地区：[1]Changchun Observatory of National Astronomical Observatories,Chinese Academy of Sciences,Changchun 130117,China [2]University of Chinese Academy of Sciences,Beijing 100049,China [3]Key Laboratory of Space Object&Debris Observation,PMO,CAS,Nanjing 210008,China

出　　处：《Research in Astronomy and Astrophysics》2022年第10期24-38,共15页天文和天体物理学研究（英文版）

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)。

摘　　要：Ground-based optical observation has unique advantages in space target observation.However,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 noise.In order to solve the above problems,we use digital image processing technology to extract faint space debris.We propose a high detection rate space debris automatic extraction algorithm,aiming to automatically detect space debris.We first establish a new space target description model.Our algorithm is mainly divided into two stages.The purpose of the first stage is to reduce the influence of a large number of stars.We 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 stars.In 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 image.After 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.

关 键 词：INSTRUMENTATION detectors-methods data analysis-methods OBSERVATIONAL 

分 类 号：P111[天文地球—天文学] V528[航空宇航科学与技术—人机与环境工程]