摘要
空间物体的光学观测中存在诸多的图像退化因素,影响了目标的成像过程,降低了探测精度,给高精度的定位计算带来困难.使用基于最大熵估计的图像复原方法,处理了退化严重的实测图像.通过比较处理前后空间目标的定位精度,分析图像复原方法对于数据处理的影响.实验结果表明,使用最大熵估计图像复原方法,降低了图像退化的影响,显著提高了退化星像的定位精度.
Due to the survey strategy and specialized hardware design,the imaging degradation of optical space object observation is serious and distinct.Thus,the imaging process is affected,and the precision of astrometric reduction on object CCD images is reduced.To improve the astrometry of space objects,the maximum entropy method is adopted for image restoration,with the apriori PSF（Point Spread Function） models.The measurement errors of objects before and after restoration are compared to investigate the effect and efficiency of image restoration.The experiment results indicate that the influences of imaging degradation are reduced and the astrometric precision of space objects is improved with the maximum entropy method.
出处
《天文学报》
CSCD
北大核心
2014年第3期237-245,共9页
Acta Astronomica Sinica
基金
国家自然科学基金项目(11033009
11125315)资助
关键词
天体测量
技术:图像处理
航天器
astrometry
techniques：image processing
space vehicles
作者简介
rysun@pmo．ac．cn
