摘要
空间碎片光学观测图像的处理过程中,受望远镜指向误差影响,背景恒星易出现错误匹配或无法匹配的情况,给底片模型的计算与目标的精密定位带来困难.从空间碎片观测图像的特点出发,提出了一种基于特征恒星的多邻域迭代匹配法.实测数据的试验结果表明,该方法消除了望远镜跟踪误差带来的影响,大幅提高了背景星图匹配的效率与正确率,且时间开销较少,有利于数据的实时处理.
During the data reduction process of optical space debris surveys, the background stars may be mismatched or not able to get matched due to the influences of telescope pointing error, then it is difficult to obtain the precise plate constant and object positions. Based on the special characteristics of debris CCD images, a method utilizing the featured stars with multiple neighbourhood matching is developed. The experimental results show that the influences of telescope pointing error are removed, the efficiency and accuracy of matching are improved distinctly. Meanwhile the time costing of our method is low, so it is beneficial to real-time data reduction.
出处
《天文学报》
CSCD
北大核心
2015年第3期253-263,共11页
Acta Astronomica Sinica
基金
国家自然科学基金项目(11403108
11125315)资助
关键词
天体测量
技术:图像处理
望远镜
方法:统计
astrometry, techniques： image processing, telescopes, methods： statistical
