A Coarse-to-Refined Matching Method for Multisensor Remote Sensing Image Registration

摘要：

Multisensor image registration is necessary in many applications of remote sensing imagery, the crucial problem is how to establish the correspondence between the features extracted from the reference and input image. Generally, most existing methods only use feature similarity or intensity similarity. In this paper, a coarse-to-refined method, which combines modified scale invariant feature transform (SIFT) feature similarity in coarse matching and cluster reward algorithm(CRA) in refined matching, is developed. To achieve refined registration, two transformation models are used. The experimental results demonstrate that the proposed method is effective and achieves subpixel registration accuracy.

作者: Yan Guo Ye Zhang Yanfeng Gu Weizhi Zhong

作者单位: School of Electronics and Information Technique Harbin Institute of Technology No.92,West Da-Zhi Street,Harbin,Heilongjiang,China

会议类型: 国际会议

会议名称: The 2nd International Symposium on Systems and Control in Aeronautics and Astronautics(第二届航空航天系统与控制国际会议 ISSCAA 2008)

会议地点: 深圳

会议语种:英文

页码: 607-610

在线出版日期: 2008-12-10（万方平台首次上网日期，不代表论文的发表时间）