一种新的全天自主星图识别算法

在星图识别领域三角形算法得到了广泛的应用，但是在星对角距很小的情况下，其识别率严重降低。字符匹配算法可以解决这个问题，但是它无法识别由于相机在拍摄瞬问的平移和旋转而产生位移的星图。为了克服这一缺陷，提出了一种有效的星图识别算法，该算法在生成导航星数据库时以一些一定范围内的亮星为中心，把整个天球分为很多个四方形区域，然后根据被拍摄星图的特点从这些四方形区域内选取子区域参与星图识别。仿真结果表明该算法不但继承了字符匹配算法的优点，而且对星图位移有很强的鲁棒性。

A Novel All-Sky Autonomous Star Pattern Recognition Algorithm

Triangle algorithm is used widely in the field of star pattern recognition, but it has disadvantage that recognition reliability decreases seriously in areas, where there are many stars existing small angular separation. The character match algorithm can solve this problem, but it can not recognize a star image with displacement caused by camera movement and rotation. To overcome this disadvantage, an effective star pattern recognition algorithm is proposed in this paper. This algorithm divides the entire celestial sphere into a lot of square areas based on some bright stars during constructing guide star database, and then it uses subareas selected from these square areas for star pattern recognition according to characteristic of star image sensed by star sensor. The simulation results show that the algorithm in this paper not only inherits advantages of character match algorithm, but also has strong robustness against star image displacement.