摘要
文章针对景象匹配制导的需求,研究了去均值归一化、基于直方图拉伸和基于局部平滑相关匹配算法,分析了算法的适应性、计算量和实时性等,比较了每种算法的优缺点。结合巡航导弹的使用,讨论了影响匹配结果的一些基本的、可能的因素,主要是环境因素。用三种分辨率的图像作了大量的实验,针对这些算法的匹配概率及地物适应性等方面进行了编程验证和综合分析,给出了有关结论。
Based on the requirement of scene matching guidance, three algorithms are studied. The algorithms include Normalized Product correlation （NProd） matching algorithm based on subtracting mean-value, NProd matching algorithm based on histogram equalization and NProd matching algorithm based on local smoothing. The adaptability, computation load and real-time ability of them are analysed and compared. Combining the application of cruise missile, the environmental factor affecting matching result is discussed. And then a lot of experiments are completed in three resolution images. Through algorithms validation and analysis about their matching probability and adaptability, finally the correlative conclusions are given.
出处
《微电子学与计算机》
CSCD
北大核心
2005年第7期53-57,61,共6页
Microelectronics & Computer
基金
部委级"十五"预研项目(413220209)
关键词
景象匹配
匹配概率
算法验证
适应性分析
Scene matching, Matching probability, Algorithms validation, Adaptability analysis
