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Fast Triangle Star Identification Algorithm Based on Uncertain Sign

机译:基于不确定符号的快速三角星识别算法

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As a fine star-field identification algorithm, triangle algorithm is used far and wide currently, but there are some defects in triangle algorithm, such as low search efficiency and high mismatches probability. In allusion to these defects, a new triangle algorithm based on uncertain sign is presented. This algorithm extracted F and R features of star triangle, and then built a guidance characteristic catalogue which was searched by means of k-vector, promoting the search efficiency, moreover, in order to avoid the occurrence of mismatch, this algorithm would verify guide star triangle's auxiliary information if its uncertain sign is 1. Simulation shows that: compared to the traditional triangle algorithm, this algorithm has a couple of advantages, including the higher rate of correct star recognition, lower mismatches probability, and better real-time adaptability and robustness. And this algorithm can reach 97% on identification rate when the position error is 2 pixels, and average identification time is 38.74ms; the traditional algorithm is 75% when the position error is 2 pixels, and average identification time is 187.26ms.
机译:三角算法作为一种优良的星场识别算法,目前广泛使用,但三角算法存在搜索效率低,失配几率高等缺陷。针对这些缺陷,提出了一种基于不确定符号的三角形算法。该算法提取了星形三角形的F和R特征,然后建立了一个用k向量搜索的制导特征目录,提高了搜索效率,而且为了避免不匹配的发生,该算法对制导星进行了验证。三角形的不确定符号为1时的辅助信息。仿真表明:与传统的三角形算法相比,该算法具有很多优点,包括更高的正确恒星识别率,更低的失配概率以及更好的实时适应性和鲁棒性。当位置误差为2个像素时,该算法的识别率达到97%,平均识别时间为38.74ms。传统算法在位置误差为2个像素时为75%,平均识别时间为187.26ms。

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