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通过激光成像技术获取三维地形轮廓并实现飞行器自主导航是目前国际上的一种先进技术。除了研制高性能的激光成像雷达外,如何寻找一种稳定、高效的地形匹配算法是当前研究的热点之一。在传统的相关算法的基础上,通过构建一种基于地形山脊线局部均值、梯度的特征矢量实现三维地形图的特征匹配。分析了特征矢量的构建、相似性度量的方法,并对匹配算法进行了对比试验,结果表明该方法较传统匹配算法性能有所提高。
It is an advanced technology in the world to obtain the 3D terrain profile by laser imaging technology and realize the autonomous navigation of the aircraft. In addition to developing high-performance laser imaging radar, how to find a stable and efficient terrain matching algorithm is one of the hot spots in current research. Based on the traditional correlation algorithm, the feature matching of 3D topographic map is achieved by constructing a feature vector based on the local mean and gradient of the ridgelines. The method of feature vector construction and similarity measurement is analyzed. The matching experiment is carried out. The results show that the performance of this method is higher than that of traditional matching algorithm.