结合全局信息描述子的局部特征匹配算法  

A SIFT matching algorithm based on global context DAISY descriptor

作　　者：李建磊[1] 王光辉[2] 高宁[3] 丁翠[4] 张海坤[1] 

机构地区：[1]中国矿业大学,江苏徐州221116 [2]国家测绘地理信息局卫星测绘应用中心,北京100830 [3]国家海洋环境监测中心,辽宁大连116021 [4]山东城市建设职业学院,济南250103

出　　处：《测绘科学》2016年第7期33-36,58,共5页Science of Surveying and Mapping

基　　金：国家自然科学基金项目(41371438);高分辨率地观测系统重大专项项目(AH1601);测绘地理信息公益性行业科研专项项目(201412007;201512027)

摘　　要：针对影像间存在相似性场景时容易出现误匹配的问题,该文提出了局部DAISY描述子与全局纹理信息相结合的算法。详细论述了DAISY描述子和全局纹理的生成过程。该算法首先提取SIFT特征;然后计算特征点的DAISY描述子与全局描述子,获得结合全局信息的DAISY描述子;最后采用卡方统计量作为度量函数进行特征描述子的匹配。实验结果表明,该文算法能得到较好的匹配结果。但是该算法在大角度旋转情况下误匹配率较大。For the mismatching problem of images which have similar scenes, this paper presented a feature matching algorithm based on partial DAISY descriptor and global texture information. The generation process of DAISY descriptor and global texture were discussed. Firstly, SIFT feature was extracted; then, the DAISY descriptors and global feature point descriptor were calculated to obtain the DAISY de- scriptors combined with global information; finally, the Z2 statistic was used as a measure of function to match feature descriptors. Experimental results showed that the proposed algorithm could get better matc- hing results; meanwhile, the mismatch rate decreased with large rotation angle.

关 键 词：特征匹配 SIFT特征点 DAISY描述子 全局纹理信息 

分 类 号：TP75[自动化与计算机技术—检测技术与自动化装置]