Robust Optical and SAR Multi-sensor Image Registration

被引：3
|
作者：
Wu, Yingdan [1 ,2 ]
Ming, Yang [3 ]
机构：
[1] Hubei Univ Technol, Hongshan Dist 430068, Peoples R China
[2] Hubei Univ Technol, Hubei Collaborat Innovat Ctr High Efficient Utili, Hongshan Dist 430056, Peoples R China
[3] CCCC Second Highway Consultants Co Ltd, Wuhan Econ & Technol Dev Area, Wuhan 430056, Hubei, Peoples R China
来源：
SAR IMAGE ANALYSIS, MODELING, AND TECHNIQUES XV | 2015年 / 9642卷
关键词：
Image registration; multi-sensor; optical; SAR; accuracy;
D O I：
10.1117/12.2194566
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
This paper proposes a robust matching method for the multi-sensor imagery. Firstly, the SIFT feature matching and relaxation matching method are integrated in the highest pyramid to derive the approximate relationship between the reference and slave image. Then, the normalized Mutual Information and multi-grid multi-level RANSAC algorithm are adopted to find the correct conjugate points. Iteratively perform above steps until the original image level, the facet-based transformation model is used to carry out the image registration. Experiments have been made, and the results show that the method in this paper can deliver large number of evenly distributed conjugate points and realize the accurate registration of optical and SAR multi-sensor imagery.
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收藏
页数：8
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