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石强-Robust Image Registration Using Structure Features

发布日期:2014-11-10 10:50:49 阅读次数:[11031]次 作者:

核心提示:来源出版物: IEEE GEOSCIENCE AND REMOTE SENSING LETTERS

标题: Robust Image Registration Using Structure Features
作者: Shi, Q (Shi, Qiang); Ma, GR (Ma, Guorui); Zhang, FF (Zhang, Feifei); Chen, WL (Chen, Wangli); Qin, QQ (Qin, Qianqing); Duo, H (Duo, Huang)
卷: 11  期: 12  页: 2045-2049  DOI: 10.1109/LGRS.2014.2317846  出版年: DEC 2014  
摘要: Due to repetitive patterns and gray changes in the remote sensing images, feature-point-based registration methods generally fail to determine every correctly matched point. In this letter, a novel registration algorithm that uses point structure information, which includes an improved shape context in feature description and consensus graph emerging from putative matches in feature matching, is proposed. First, to obtain robust initial matching point pairs, a DAISY descriptor is combined with a shape context descriptor that is improved using 1-D Fourier transformation. Second, the final matching results are estimated using graphic transform matching based on the local structure information of the point to remove outliers from initial correspondences. Finally, experimental results demonstrate that the proposed approach, based on structure information, is robust and can improve alignment precision in particularly complex environments.
地址: [Shi, Qiang; Ma, Guorui; Zhang, Feifei; Chen, Wangli; Qin, Qianqing] Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Wuhan 430079, Peoples R China.
[Duo, Huang] S China Univ Technol, State Key Lab Subtrop Bldg Sci, Guangzhou 510641, Guangdong, Peoples R China.
通讯作者地址: Shi, Q (通讯作者),Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Wuhan 430079, Peoples R China.
电子邮件地址: sqfirstwhu@hotmail.com; mgr@whu.edu.cn; Zhangfeifei2006@126.com; wanglichen_07@whu.edu.cn; qqqin@lmars.whu.edu
ISSN: 1545-598X
电子 ISSN: 1558-0571

 

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