摘要
为提高景像匹配算法的匹配概率和匹配精度,以多传感器最大属性数据融合方法为基础,分析了光学与雷达传感器获取图像的特性,提出了使用光学和雷达传感器进行融合相关的新匹配算法,实现了这两种传感器的优势互补,大大加强了景像匹配算法的抗干扰能力,有效提高了匹配概率和匹配精度。仿真证明,该方法比较成功。
The purpose of this paper is to improve the matching probability and precision of scene matching algorithm. Based on the maximum-attribute data fusion of multiple sensors, the characteristics of optical images and radar images are analyzed. A new correlation matching algorithm is proposed to implement multi-sensor fusion of optic senscr with radar, thus their respective advantages can be combined together. By using the algorithm, anti-jamming probability of the scene matching algorithm is enhanced, and the matching probability and precision are improved. Simulation results show that the ＇algorithm is available.
出处
《电光与控制》
北大核心
2005年第5期16-19,共4页
Electronics Optics & Control
基金
部委级"十五"预研项目(413220209)
