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Optical image is rich in spectral information, while SAR instrument can work in both day and night and obtain images through fogand clouds. Combination of these two types of complementary images shows the great advantages of better image interpretation.Image registration is an inevitable and critical problem for the applications of multi-source remote sensing images, such as imagefusion, pattern recognition and change detection. However, the different characteristics between SAR and optical images, which aredue to the difference in imaging mechanism and the speckle noises in SAR image, bring great challenges to the multi-source imageregistration. Therefore, a novel image registration algorithm based on the virtual points, derived from the corresponding regionfeatures, is proposed in this paper. Firstly, image classification methods are adopted to extract closed regions from SAR and opticalimages respectively. Secondly, corresponding region features are matched by constructing cost function with rotate invariant regiondescriptors such as area, perimeter, and the length of major and minor axes. Thirdly, virtual points derived from corresponding regionfeatures, such as the centroids, endpoints and cross points of major and minor axes, are used to calculate initial registrationparameters. Finally, the parameters are corrected by an iterative calculation, which will be terminated when the overlap ofcorresponding region features reaches its maximum. In the experiment, WordView-2 and Radasat-2 with 0.5 m and 4.7 m spatialresolution respectively, obtained in August 2010 in Suzhou, are used to test the registration method. It is shown that the multi-sourceimage registration algorithm presented above is effective, and the accuracy of registration is up to pixel level

the international archives of the photogrammetry, remote sensing and spatial information sciences/international archives of the photogrammetry, remote sensing and spatial information sciences

A NOVEL IMAGE REGISTRATION ALGORITHM FOR SAR AND OPTICAL IMAGES BASED ON VIRTUAL POINTS