Improved astrometry of space debris with image restoration  

作　　者：Rong-Yu Sun Chang-Yin Zhao 

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

出　　处：《Research in Astronomy and Astrophysics》2014年第8期992-1000,共9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：In order to implement an observing strategy, image degradation that occurs during optical observation of space debris is ineluctable and has distinct characteris- tics. Image restoration is presented as a way to remove the influence of degradation in CCD images of space debris, based on assumed PSF models with the same F-WHM as images of the object. In the process of image restoration, the maximum entropy method is adopted. The results of reduction using observed raw CCD images indi- cate that the precision in estimating positions of objects is improved and the effects of degradation are reduced. Improving the astrometry of space debris using image restoration is effective and feasible.In order to implement an observing strategy, image degradation that occurs during optical observation of space debris is ineluctable and has distinct characteris- tics. Image restoration is presented as a way to remove the influence of degradation in CCD images of space debris, based on assumed PSF models with the same F-WHM as images of the object. In the process of image restoration, the maximum entropy method is adopted. The results of reduction using observed raw CCD images indi- cate that the precision in estimating positions of objects is improved and the effects of degradation are reduced. Improving the astrometry of space debris using image restoration is effective and feasible.

关 键 词：TECHNIQUES image processing -- space vehicles -- astrometry -- methods data analysis 

分 类 号：P123[天文地球—天体测量]