太阳成8722(中国)有限公司-GREEN NO.1

标题：A Uniform SIFT-Like Algorithm for SAR Image Registration作者：Wang, Bangsong; Zhang, Jixian; Lu, Lijun; Huang, Guoman; Zhao, Zheng

来源出版物：IEEE GEOSCIENCE AND REMOTE SENSING LETTERS 卷：12 期：7 页：1426-1430 DOI：10.1109/LGRS.2015.2406336 出版年：JUL 2015

摘要：In this letter, a uniform scale-invariant feature transform (SIFT)-like algorithm is proposed for synthetic aperture radar (SAR) image registration, which can extract enough robust, reliable, and uniformly distributed features by the strategies of optimal feature selection based on a Voronoi diagram and feature scale-space proportional extraction. SAR images, taken from different viewpoints by an airborne sensor and at different times by spaceborne sensors, were used as test data to validate the effectiveness of the proposed algorithm. The indexes of local density and global coverage were used to assess the spatial distribution of matches. Compared with the traditional SIFT-like algorithm for SAR images (SAR-SIFT), the results show that the proposed algorithm can increase the number of matches and optimize their spatial distribution.

入藏号：WOS:000352572600009

文献类型：Article

语种：English

作者关键词：Image registration, scale-invariant feature transform (SIFT)-like algorithm, synthetic aperture radar (SAR), Voronoi diagram

通讯作者地址：Wang, Bangsong; Wuhan Univ, Sch Resources & Environm Sci, Wuhan 430072, Peoples R China.

电子邮件地址：bangsongwang@yahoo.com; zhangjx@casm.ac.cn; Lulijun2002@gmail.com; huang.guoman@casm.ac.cn; zhaozheng@casm.ac.cn

地址：

[Wang, Bangsong]Wuhan Univ, Sch Resources & Environm Sci, Wuhan 430072, Peoples R China.

[Zhang, Jixian; Lu, Lijun; Huang, Guoman; Zhao, Zheng] Chinese Acad Surveying & Mapping, Inst Photogrammetry & Remote Sensing Beijing, Beijing 100830, Peoples R China.

研究方向：Geochemistry & Geophysics; Engineering; Remote Sensing; Imaging Science & Photographic Technology

ISSN：1545-598X

eISSN: 1558-0571