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讨论了一种新的无须任何先验知识的星图识别算法。该算法将四边形星图模式分解为两个具有公共边的三角形模式 ,使用三角形模式的特征 ,在保证算法计算量和星载星表的存储容量的前提下 ,使算法的识别成功率得以星著提高。 Monte Carlo实验表明 ,在星等误差0 .5星等 ( 3σ) ,位置误差 1 0角秒 ( 1 σ)时 ,该算法的识别成功率接近 1 0 0 %。
A new star-map recognition algorithm without any prior knowledge is discussed. The algorithm decomposes the quadrilateral star pattern into two triangular patterns with common edges. Using the features of the triangular pattern, the algorithm achieves the success rate of recognition based on the computational cost of the algorithm and the storage capacity of the satellite carrier. improve. The Monte Carlo experiments show that the recognition success rate of this algorithm is close to 100% when the magnitude error is 0.5 magnitude (3σ) and the position error is 10 arcseconds (1σ).