一种雷达成像匹配算法分析及应用

A Radar Imaging Matching Algorithm and Its Application

针对雷达成像后的场景定位,提出了一种基于强散射点目标几何位置关系的特征匹配新算法,首先根据灰度特性提取图像上强散射点,再连接各候选点形成不规则多边形,通过分析该形状各顶点之间的几何位置关系特征实现匹配定位。实测数据仿真结果表明该方法运算量小、匹配精度高,并且可靠性和鲁棒性强,是具有较高实用价值的雷达图像匹配工程应用方法。

In this paper,a new feature matching algorithm based on the geometric position relationship of strong scattering points is proposed for scene location after radar imaging.First,strong scattering points on an image are extracted based on grayscale characteristics,and then the candidate points are connected to form an irregular polygon.Matching location is achieved by analyzing the geometric position relationship between the vertices of the polygon.The results of a simulation test using measured data show that the proposed method has small computational complexity,high matching accuracy,high reliability,and high robustness.It is a radar image matching method with high engineering application value.