Automatic registration of optical and SAR image using geometric structural properties
Received:February 17, 2017  Revised:September 29, 2017  download
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Author NameAffiliationE-mail
YE Yuan-Xin Faculty of Geosciences and Environmental EngineeringSouthwest Jiaotong University yeyuanxin110@163.com 
HAO Si-Yuan   
CAO Yun-Gang   
Abstract:This paper proposes an automatic registration method for optical and Synthetic Aperture Radar (SAR) images based on geometric structural properties. In the proposed method, the phase congruency feature with photometric invariance is first introduced for image feature extraction, and then both the magnitude and orientation information of phase congruency are used to build a geometric structural feature descriptor named HOPC (Histogram of Orientated Phase Congruency). A similarity metric named HOPCn is defined for image matching by using the Euclidean distance of the descriptors. This similarity metric can capture the geometric structural similarity between images, and has been tested using 4 pairs of optical and SAR images. Experimental results show that HOPCn is robust to non-linear radiometric differences, and outperforms the state-of-the-art similarity metrics such as correlation coefficient and mutual information. Moreover, this paper also design an automatic registration method based on HOPCn. Experimental results demonstrate the effectiveness and robustness of the proposed method.
keywords:image  registration, phase  congruency, geometric  structural properties, similarity  metric.
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Copyright:《Journal of Infrared And Millimeter Waves》