红外与毫米波学报2017，Vol.36Issue(6)：720-726,7.DOI:10.11972/j.issn.1001-9014.2017.06.014
基于几何结构属性的光学和SAR影像自动配准
Automatic registration of optical and SAR image using geometric structural properties
摘要
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.关键词
图像配准/相位一致性/几何结构属性/相似性测度Key words
image registration/phase congruency/geometric structural properties/similarity metric分类
天文与地球科学引用本文复制引用
叶沅鑫,郝思媛,曹云刚..基于几何结构属性的光学和SAR影像自动配准[J].红外与毫米波学报,2017,36(6):720-726,7.基金项目
国家自然科学基金(41401369,61701272,41771451),国家重点研发计划项目(2016YFB0502603,2016YF0501403) （41401369,61701272,41771451）
Supported by National Nature Science Foundation of China(41401369,61701272,41771451),State Key Research and Development Program of China (2016YFB0502603,2016YF0501403) （41401369,61701272,41771451）
