空间目标光学观测过程中,当望远镜的指向误差与跟踪误差显著时,很难使用邻域匹配的方法完成背景恒星的配准.基于星对角距冗余递减匹配的思想,实现了一种背景恒星的高效识别方法.利用多种条件下的仿真星图以及实测图像进行了试验,结果表明,方法提高了识别成功率,且耗时少,可以准确、快速地完成星图匹配工作.
During the optical observations of space objects, it is difficult to enable the background stars to get matched when the telescope pointing error and tracking error are striking. Depending on the idea of decreasing redundancy matching, an efficient recognition method for background stars is proposed in this paper. The simulation stellar pictures in different conditions and the surveyed stellar pictures are used to verify the proposed method. The experimental results show that the proposed method performs a higher rate of recognition and less time costing, and it is able to match stellar pictures accurately and rapidly.