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一种快速、高精度和稳健的影像匹配算法
引用本文:熊兴华,陈鹰,钱曾波.一种快速、高精度和稳健的影像匹配算法[J].测绘学报,2005,34(1):40-45.
作者姓名:熊兴华  陈鹰  钱曾波
作者单位:1. 西安测绘研究所,陕西,西安,710054
2. 同济大学,遥感技术应用中心,上海,200092
3. 信息工程大学,测绘学院,河南,郑州,450052
基金项目:国家高技术研究发展计划(863计划)
摘    要:在遥感影像应用中,匹配是一项很关键技术,它的优劣直接关系到后续成果的质量.而匹配质量本身的优劣又取决于匹配的速度、精度和可靠性.针对这三个方面的因素,本文探讨一种基于小波变换、遗传算法和最小二乘匹配的快速高精度影像匹配组合算法.小波变换用于减少匹配搜索数据,遗传算法用于优化搜索空间,而最小二乘匹配则用于获得子像素匹配精度.同时为提高遗传搜索的稳定性和匹配结果的可靠性,本文探讨一种改进的自适应算子概率遗传算法.该改进的基本原理是杂交概率依选择的两父代染色体间的Hamming距离而自适应的变化,变异概率则依父代个体的适应度而自适应的变化.实验结果表明:与传统方法相比,本文方法具有明显的性能优势.

关 键 词:影像匹配  小波变换  遗传算法  最小二乘匹配  快速  匹配精度  影像匹配算法  Fast  Matching  Algorithm  Image  Robust  性能优势  方法  实验  适应度  变异概率  变化  距离  Hamming  染色体  选择  杂交概率  基本原理  算子
文章编号:1001-1595(2005)01-0040-06

A Fast, Accurate and Robust Image Matching Algorithm
XIONG Xing-hua,CHEN Ying,QIAN Zeng-bo.A Fast, Accurate and Robust Image Matching Algorithm[J].Acta Geodaetica et Cartographica Sinica,2005,34(1):40-45.
Authors:XIONG Xing-hua  CHEN Ying  QIAN Zeng-bo
Abstract:Image Matching is very pivotal technique in the application of remote sensing image whose quality determines the performances of the subsequent production straightforwardly, and the qualities of matching result self are determined by the speed, precision and reliability of image matching algorithm. A new fast, accurate and robust image matching algorithm integrating wavelet transform, genetic algorithm with least square matching(LSM) is discussed. The algorithm makes use of the advantages of the above three techniques fully. Wavelet transform is used to reduce the search data size, and genetic algorithm is used to optimize the search solution space, and LSM is used to obtain the subpixel matching result. Simultaneously, an improved genetic algorithm with adaptive operator probability is presented. The basic principles are that the crossover probability of genetic algorithm varies with the change of the Hamming distance between two-parent chromosomes selected and the mutation probability varies with the change of the fitness of individual chosen. The experiment results have shown that the algorithm discussed is superior to the traditional ones in matching performances distinctly.
Keywords:image matching  wavelet transform  genetic algorithm  least square matching
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