基于模糊决策的快速星图识别

空间碎片问题日益严重, 需要对其进行常态化监测。光学观测作为重要的监测手段, 需要依靠快速的光学图像处理技术, 采用天文定位方法得到空间碎片的赤经-赤纬测量信息。星图识别是天文定位的关键步骤, 直接影响着图像处理的速度和结果精度。本文提出了一种改进的基于模糊决策的快速星图识别方法, 在保持快速处理的情况下提高了星表匹配的准确性。利用新疆南山站25 cm望远镜的图像对该方法进行了测试, 取得了良好的效果, 证明了算法的有效性和稳定性。

Fast star map recognition algorithm based on fuzzy decision

The problem of space debris is becoming more and more serious. It is necessary to monitor space debris normally. As an important technology of monitoring, optical observation needs to rely on fast image processing and astronomical positioning to obtain the RA-DEC position of space objects. Star map recognition is a key step in astronomical positioning, which directly affects the speed of image processing and the accuracy of results. In this paper, an improved fast star map recognition method based on fuzzy decision is proposed, which improves the accuracy of star map recognition while maintaining fast processing. This method is tested with the image of 25 cm telescope at Nanshan station in Xinjiang, and the results prove the effectiveness and stability of the algorithm.