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Proceedings Paper

Robust optical and SAR multi-sensor image registration
Author(s): Yingdan Wu; Yang Ming
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Paper Abstract

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.

Paper Details

Date Published: 15 October 2015
PDF: 8 pages
Proc. SPIE 9642, SAR Image Analysis, Modeling, and Techniques XV, 96420W (15 October 2015); doi: 10.1117/12.2194566
Show Author Affiliations
Yingdan Wu, Hubei Univ. of Technology (China)
Yang Ming, CCCC Second Highway Consultants Co., Ltd. (China)


Published in SPIE Proceedings Vol. 9642:
SAR Image Analysis, Modeling, and Techniques XV
Claudia Notarnicola; Simonetta Paloscia; Nazzareno Pierdicca, Editor(s)

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