基于最大相位索引图的异源影像配准方法  

Registration of Heterologous Images Based on Maximum Phase Index Map

作　　者：李泽一 赵薇薇[3] 喻夏琼 周颖 张海涛[1,2] Li Zeyi;Zhao Weiwei;Yu Xiaqiong;Zhou Ying;Zhang Haitao(Department of Precision Instruments,Tsinghua University,Beijing 100083,China;Key Laboratory of Photonic Control Technology,Ministry of Education,Tsinghua University,Beijing 100083,China;Beijing Institute of Remote Sensing,Beijing 100192,China;432021 Unit,People’s Liberation Army of China,Beijing 101416,China)

机构地区：[1]清华大学精密仪器系,北京100083 [2]清华大学光子测控技术教育部重点实验室,北京100083 [3]北京市遥感信息研究所,北京100192 [4]中国人民解放军32021部队,北京101416

出　　处：《中国激光》2021年第15期349-357,共9页Chinese Journal of Lasers

摘　　要：由于光学和合成孔径雷达(SAR)存在显著的几何和辐射差异,光学影像和SAR影像自动配准一直是现阶段研究的重点问题。利用具有辐射不变性的相位一致性算法计算两影像相位,构建特征方向信息和特征强度信息,并构建一种局部特征描述符——最大相位索引图(MPIM)。利用相位索引图相关性测度在输入影像上获取同名点,采用仿射变换实现配准。实验结果表明:所提算法对光学和SAR的几何和辐射差异具有较强的适应性,并且配准精度较高。Objective Automatic registration of optical and synthetic aperture radar(SAR)images is challenging owing to the significant geometric and radiometric differences between optical and SAR images.In this study,the phase congruency algorithm was used to calculate the phase because of its radiation invariance,construct feature direction information and feature intensity information,and establish a local feature descriptor,i.e.,maximum phase index map(MPIM).Consequently,the corresponding points are obtained from the input image using the correlation measure of MPIM.Moreover,the projection transformation is used to achieve registration.Experimental results show that the proposed method shows strong adaptability to the radiation difference between optical and SAR images and exhibits a high registration accuracy.Methods In this study,a multimodal image matching algorithm based on phase congruency was proposed.First,the definition of phase congruency was presented based on the frequency domain transformation.Then,the energy concept was introduced into the phase congruency calculation and the energy function was calculated using the odd and even filters of the Log-Gabor wavelet filter.The phase congruency transformation was obtained and found to be consistent with human vision.Further,the maximum moment Mψwas calculated based on the phase congruency transformation and the corner points of the image were extracted using the Mψgraph.Thereafter,a multimodal image matching algorithm based on MPIM of the Log-Gabor filter response was obtained.Results and Discussions As shown in Fig.2,the image texture is preserved and noise is suppressed after the phase congruency transformation.By comparing the Harris corner points extracted from the original image and Mψbased on the phase congruency transformation,the corner distribution extracted from Mψis more reasonable and conducive for subsequent image matching.Then,to test the performance of the MPIM operator,the information extraction ability of the operator is assessed by changing

关 键 词：图像处理 图像配准 相位一致性 最大索引图 相似性测度 

分 类 号：P23[天文地球—摄影测量与遥感]