中文摘要：

星图运动补偿技术是有效提高空间监测中复杂背景弱小目标检测精度的关键技术之一。本文中提出了一种基于Delaunay三角剖分和ICP算法相结合的星图运动补偿算法。该方法首先通过Delaunay三角剖分建立星图中恒星之间的线索矩阵,其次通过ICP配准算法得到相邻星图间的对应关系,并通过SVD最优解析得到相邻帧之间的变换关系即摄像机运动模型,最后通过双线性内插法进行运动补偿。实验结果表明：该方法可有效实现高精度的运动背景补偿,为复杂背景弱小目标检测奠定技术基础。

英文摘要：

Motion compensation method for starry image registration is one of the key technologies,which could effectively improve the dim target detection precision in complex background for space surveillance.In this paper,a new method combining with Delaunay triangulation and ICP algorithm is presented for starry images sequences motion compensation.Firstly,this method establishes the clue matrix for several fixed stars in one starry image by Delaunay triangulation.Secondly,this method could get the corresponding relations between the adjacent starry maps by using the ICP registration algorithm.And through the SVD optimal resolution to get the transform relation between the adjacent frames which is the camera motion model.Finally,the bilinear interpolation method is employed to finish the motion compensation.The experimental results show that,this method can effectively realize high precision motion background compensation,and lay the technical foundation for dim small target detection in complex background.