期刊名称：International Journal of Signal Processing, Image Processing and Pattern Recognition
印刷版ISSN：2005-4254
出版年度：2013
卷号：6
期号：2
出版社：SERSC
摘要：Remote sensing image registration is the basis of remote sensing image mosaic and fusion, while extracting appropriate control point pairs have great significance to establish the mapping relationship for registration of two remote sensing images. An automatic extracting method of control point pairs is proposed. Firstly, it determines the common areas of two images and divides them into blocks uniformly. The corresponding blocks of the two images are marked with the same sequence number to establish the one-to-one regional matching relation. Then, for each block, the multi-scale Harris corner detection method is adopted to detect image features which are described by feature descriptors of SIFT algorithm. Finally the regional matching strategy is performed to match the features. Experiments show that the proposed method can extract control point pairs with reasonable distribution and high precision, and these point pairs conduct to improve the precision of remote sensing image matching.
关键词：Remote Sensing Image; Control Point Pair; SIFT Algorithm; Harris Operator
