A new source extraction algorithm for optical space debris observation  

作　　者：Rong-Yu Sun Chang-Yin Zhao 

机构地区：[1]Purple Mountain Observatory, Chinese Academy of Sciences [2]Key Laboratory of Space Object and Debris Observation, Chinese Academy of Sciences [3]Graduate University of Chinese Academy of Sciences

出　　处：《Research in Astronomy and Astrophysics》2013年第5期604-614,共11页天文和天体物理学研究（英文版）

基　　金：funded by the National Natural Science Foundation of China(Grant Nos.11125315 and 11033009)

摘　　要：Specific challenges arise in the task of real-time automatic data reduction of optical space debris observations. Here we present an automatic technique that optimally detects and measures the sources from images of optical space debris ob- servations. We show that highly reliable and accurate results can be obtained on most images produced by our specific sensors, and due to optimizations, the whole pipeline works fast and efficiently. Tests demonstrate that the technique performs better than SExtractor from the point of view of fast and accurate detection, therefore it is well suited for data reduction of optical space debris observations.Specific challenges arise in the task of real-time automatic data reduction of optical space debris observations. Here we present an automatic technique that optimally detects and measures the sources from images of optical space debris ob- servations. We show that highly reliable and accurate results can be obtained on most images produced by our specific sensors, and due to optimizations, the whole pipeline works fast and efficiently. Tests demonstrate that the technique performs better than SExtractor from the point of view of fast and accurate detection, therefore it is well suited for data reduction of optical space debris observations.

关 键 词：techniques： image processing -- space vehicles -- astrometry 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术] P12[自动化与计算机技术—计算机科学与技术]