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中文摘要：
针对卫星自主定姿问题,提出了一种基于星形的星图识别算法。该算法直接以星对角距为匹配特征,先确定影像中亮星为中心星,并以此星与相邻星像点构建辐射状星图,统计所有满足星对角距匹配条件的导航星出现次数,次数最多的即为中心星所对应的导航星。实验表明,该算法构造的导航星表容量小,抗星等干扰,与多边形角距匹配算法相比,具有匹配速度快、识别率高、可靠性好的特点。
英文摘要：
A new star identification algorithm is proposed based on starlike mappings pattern for the problem of secondary planet autonomous attitude determination. This algorithm directly uses star angular distance as matching feature. It firstly fixes on bright star in image by comparing magnitude as central star, then constructs radicalized star pattern at the center of it, secondly it gets guide stars using angular distance matching. Lastly it sums up the times the guide star appears, the guide star which has most appearance times will correspond to the central star in the image. Experiment demonstrates that star catalog constructed by this algorithm is little, and there is no magnitude participating in matching, So it is unacted on magnitude error. Compared with traditional polygon angular matching algorithm, this algorithm has advantage on velocity, successful identification, reliability.
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