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为了提高星敏感器的星图识别性能,提出了一种基于惯性比特征的三角形星图识别算法。该算法将导航三角形的形心惯性比和导航三角形最长边的角距值作为匹配特征量,并以此构建导航特征库,采用散列函数的方式搜索导航特征库。由于将三角形特征量的维数由三维缩减至二维,该算法具有导航星数据库容量小、搜索匹配速度快的优点。仿真实验表明,在星点位置噪声标准偏差为2像素、星等噪声标准偏差为0.8等的条件下,该算法的识别率均在99%以上,平均识别时间约为1.29ms,和现有三角形算法相比均具有一定的优势。并在地面观星实验中,取得了非常好的效果。
In order to improve the star recognition performance of star sensor, a triangle star image recognition algorithm based on inertia ratio is proposed. In this algorithm, the centroid inertia ratio of the navigation triangle and the longest distance between the longest sides of the navigation triangle are used as matching features, and the navigation database is constructed to search the navigation database using the hash function. Due to the reduction of the dimensionality of triangular features from three dimensions to two dimensions, the algorithm has the advantages of small capacity of navigation star database and fast search and matching speed. The simulation results show that the recognition rate of the algorithm is above 99% with average standard deviation of 2 pixels and equal standard noise of 0.8, the average recognition time is about 1.29 ms, and the existing triangles Compared with the algorithm has certain advantages. And in the ground stargazing experiments, and achieved very good results.