【摘要】 三角形算法是一种当前使用最为广泛的星图识别算法 ,但作为其识别基元的三角形的特征维数比较低 ,容易出现冗余匹配或误匹配 ,因而对测量误差比较敏感。针对这一缺点 ,从导航星的选取、星座数据库的构造和算法的实现三方面着手对传统三角形算法进行改进 ,提出了新的导航星自动选取方法和导航星座数据库构造方法 ,并在此基础上实现了改进三角形算法 ,其数据库容量和实时性都略优于传统三角形算法 ,且识别成功率接近多边形算法更多还原

【Abstract】 As a fine star field identification algorithm, triangle algorithm is used far and wide currently. Because of the low character dimension of triangle, which is the basic identification element of triangle algorithm, redundant or error matches always present themselves, so triangle algorithm is sensitive to errors in measurement. In allusion to this default, proceeding with selection of guide stars, construction of database of guide star pattern and realization of algorithm, new method to select guide stars automatically and method to construct database of guide star pattern are presented. Based on these, an improved triangle algorithm has been developed. The size of its database and its real time are superior then the traditional triangle algorithm slightly. Furthermore, the correct identification rate of the improved triangle algorithm is close to polygon algorithm.更多还原