利用数学形态学算子方法处理无快门相机的拖尾图像  

Using Operators of Morphological Mathematic for Processing Smeared Image of Camera without Shutter

作　　者：孙荣煜[1,2,3] 赵长印[1,2] 平一鼎[1,2] 熊建宁[1,2] 张晨[1,2,3] 

机构地区：[1]中国科学院紫金山天文台,南京210008 [2]中国科学院空间目标与碎片观测重点实验室,南京210008 [3]中国科学院研究生院,北京100049

出　　处：《天文学报》2012年第1期80-91,共12页Acta Astronomica Sinica

基　　金：国家自然科学基金重点项目(11033009)资助

摘　　要：使用全帧转移CCD相机观测空间目标往往拆除快门,从而产生拖尾,严重影响了目标的探测和定位.基于星像与拖尾几何形态的不同,使用数学形态学方法处理拖尾图像.通过比较拖尾处理前后图像中恒星的定位精度和空间目标的定位精度,验证形态学方法可以有效消除天文图像中的拖尾,显著提高拖尾图像中恒星与动目标的探测率及定位精度.结果表明数学形态学方法是一种有效的去除拖尾的方法.In observations of space objects, the shutter of camera is often removed and hence the smear noise is ineluctable. Smear noise brings in difficulties on target detection and location calculation, so it must be handled properly. Based on the differences of geometry between stars and smear noise, two operators （TopHat and Spread TopHat） of morphological mathematic are presented to resolve this problem. They＇re sufficiently flexible to be applied. Tests carried out indicate that smear noise can be removed effectively, and detection rate of objects and stars is improved distinctly. Through the compare of position accuracy of stars and objects, it＇s demonstrated that both two operators work with a high degree of location precision, and Spread TopHat has a better performance when dealing with stars. At last, the efficiency of methods is proved.

关 键 词：航天器 技术 图像处理 

分 类 号：P123[天文地球—天体测量]