基于特征图形匹配法的高效星图识别方法

发布时间：2018-06-27 20:45

本文选题：星图识别 + 星表重构　；参考：《中国空间科学技术》2016年04期

【摘要】：针对目前星敏感器使用的星图识别算法存在的冗余匹配、匹配时间长、识别率低等缺点,对星图识别算法进行了研究,提出了一种高效星图识别方法。该算法首先对传统星表进行处理,取出冗余信息,重新分配天区,使每个天区的导航星数目均匀,将分区以及处理后的星表信息重新存储并作为导航星库,然后通过对拍摄的图像进行处理并提取特征信息,与导航星库中的特征信息进行匹配,从而改善传统星图匹配算法出现冗余匹配、匹配时间过长及识别率低等缺点。完成算法设计后,选取视场为15°×15°的大视场星敏感器,对该算法进行仿真验证分析,可以发现该算法可以实现部分天区与拍摄星图匹配时间在20ms以内,全天区星图的识别和匹配时间在1.5s以内,识别率达到98%以上,印证了该算法可以提高识别的成功率并且缩短识别时间,使识别算法具有高效性。
[Abstract]:Aiming at the shortcomings of the star map recognition algorithm used in star sensor, such as redundant matching, long matching time and low recognition rate, the star map recognition algorithm is studied, and an efficient star map recognition method is proposed. The algorithm firstly processes the traditional catalog, takes out the redundant information, redistributes the sky area, makes the number of navigation stars uniform in each sky region, and restores the partition and processed catalog information as the navigation star bank. Then the image is processed and the feature information is extracted to match the feature information in the navigation star database, which improves the shortcomings of the traditional star map matching algorithm, such as redundant matching, long matching time and low recognition rate. After the algorithm is designed, the large field star sensor with 15 掳脳 15 掳field of view is selected, and the simulation results show that the matching time between part of the sky region and the shooting star map is within 20ms. The recognition and matching time of the whole sky star map is within 1.5 s, and the recognition rate is over 98%, which proves that the algorithm can improve the success rate of recognition and shorten the recognition time, so that the recognition algorithm has high efficiency.
【作者单位】：北京航天自动控制研究所;
【分类号】：V448.2

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