连续景象匹配的后处理算法

下视景象匹配是各类巡航飞行器实现导航误差修正的关键技术。由于基准图和实时图存在差异，配准点往往落在相关阵的次峰上，导致匹配的失败。提出了N帧连续景象匹配决策的图论算法。该算法利用单帧匹配后形成的相关阵中的主次峰信息以及惯导的位移信息，进行多帧景象匹配的一致性决策。由于引入了相关阵中的次峰信息并结合惯导位移的一致性判断，使得匹配算法能有效剔除误匹配点，从而提高算法的鲁棒性和匹配概率。

A post-processing algorithm for continuous scene matching

The downward-looking scene matching was a key technique for many cruise aircrafts to correct their navigation errors.For downward-looking scene matching,since the difference between real-time and reference image,the true matched points were sometimes not on the primary peaks but on the secondary peaks of correlation matrix in such a way that the matching was to fail.In this paper,a consistent decision algorithm for N frames continuous scene matching is proposed.Using information of the primary and secondary peaks of correlation matrix and the displacement of inertial guidance,the consistent decision can be made.Meanwhile,the false matched points can be deleted effectively.Since the information of multiple peaks and inertial guidance are introduced,the robust of algorithm and probability of matching are improved.