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一种基于嫦娥一号CCD影像的影像匹配方法
引用本文:何钰,蓝朝桢,邢帅.一种基于嫦娥一号CCD影像的影像匹配方法[J].测绘科学技术学报,2012(4):281-284.
作者姓名:何钰  蓝朝桢  邢帅
作者单位:信息工程大学测绘学院
基金项目:国家973计划项目(2012CB720000);国家863计划项目(2010AA122202)
摘    要:月球测绘是完成月球探测任务的基础保障。这里提出了一种适合于CE-1获取的CCD影像的多尺度约束自动匹配方法。首先利用SURF算子提取影像上特征点;然后进行基于准核线和最小欧式距离约束的影像匹配;最后采用随机采样算法对误匹配点进行剔除而得到同名点信息。实验结果表明,该匹配方法提取的同名点有利于CE-1月球影像DEM的生成。

关 键 词:月球探测  影像匹配  特征点提取  SURF算子  准核线  欧式距离  随机采样算法

A Method of Image Matching Based on CE-1 CCD Image
HE Yu,LAN Chaozhen,XING Shuai.A Method of Image Matching Based on CE-1 CCD Image[J].Journal of Zhengzhou Institute of Surveying and Mapping,2012(4):281-284.
Authors:HE Yu  LAN Chaozhen  XING Shuai
Affiliation:(Institute of Surveying and Mapping,Information Engineering University,Zhengzhou 450052,China)
Abstract:Lunar mapping is considered as the foundation of lunar exploration.A matching method for CE-1 CCD images based multi scale constraints was presented.Firstly,the feature points are extracted by SURF,then image matching is executed on the constraint condition of quasi-epipolar line and minimum Euclidean distance.At last random sample consensus is used to eliminate mis-matching points and the homologous information is obtained.The results of the experiments verified that the homologous points extracted by this method have more benefit for DEM generation.
Keywords:lunar exploration  image matching  feature points extraction  SURF algorithm  quasi-epipolar line  euclidean distance  random sample consensus
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