Robust optical and SAR multi-sensor image registration

Yingdan Wu; Yang Ming

doi:10.1117/12.2194566

15 October 2015 Robust optical and SAR multi-sensor image registration

Yingdan Wu, Yang Ming

Proceedings Volume 9642, SAR Image Analysis, Modeling, and Techniques XV; 96420W (2015) https://doi.org/10.1117/12.2194566
Event: SPIE Remote Sensing, 2015, Toulouse, France

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.

Citation Download Citation

Yingdan Wu and Yang Ming "Robust optical and SAR multi-sensor image registration", Proc. SPIE 9642, SAR Image Analysis, Modeling, and Techniques XV, 96420W (15 October 2015); https://doi.org/10.1117/12.2194566

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