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三角形外接圆半径能部分描述三角形的结构特征,在三角形两条边长及其外接圆半径已知的情况下,可以确定唯一的三角形,因此提出了一种基于三角形外接圆的星图识别算法。构建了导航星数据库,以特征三角形为匹配模板,减少了导航星三角形的数量,从而减小导航星数据库容量。为了提高搜索效率,以特征半径为搜索量,并对其进行升序排列。通过对特征半径的匹配,缩小了角距匹配的范围,提高了角距匹配的速度,同时采用的多三角形的组合有效地提高了识别率。为了保证星图识别的准确性,引入了验证识别环节。仿真结果表明:当存在2像元的位置噪声时,识别率大于97.42%,平均识别时间为38.41 ms,实时性与鲁棒性均优于传统三角形星图识别算法。
Triangular circumcircle radius can describe the structural features of triangles. When the two sides of the triangle and its circumcircle radius are known, a unique triangle can be determined. Therefore, a star-shaped image recognition algorithm based on the circumscribed circle of triangles is proposed. The navigation star database is constructed, and the feature triangle is used as a matching template, the number of navigation star triangles is reduced, and the navigation star database capacity is reduced. In order to improve the search efficiency, the feature radius is searched, and the search order is ascending. By matching the feature radius, the range of the angular distance matching is narrowed, and the speed of the angular matching is improved, and the combination of the multiple triangles effectively improves the recognition rate. In order to ensure the accuracy of the recognition of the star chart, a verification and identification is introduced. Simulation results show that when there is 2-pixel position noise, the recognition rate is more than 97.42% and the average recognition time is 38.41 ms, the real-time performance and robustness are better than those of traditional triangular star map recognition algorithm.