非线性尺度空间改进的光学与SAR影像自动配准  

Automatic Registration of Optical and SAR Images Based on Nonlinear Scale-Space Enhancement

作　　者：姚国标 张成成 龚健雅[2] 张现军 李兵 YAO Guobiao;ZHANG Chengcheng;GONG Jianya;ZHANG Xianjun;LI Bing(College of Surveying and Geo-Informatics,Shandong Jianzhu University,Ji'nan 250100,China;School of Remote Sensing and Information Engineering,Wuhan University,Wuhan 430079,China;Ji'nan Geotechnical Investigation and Surverying Institute,Ji'nan 250101,China)

机构地区：[1]山东建筑大学测绘地理信息学院,山东济南250100 [2]武汉大学遥感信息工程学院,湖北武汉430079 [3]济南市勘察测绘研究院,山东济南250101

出　　处：《武汉大学学报（信息科学版）》2024年第12期2249-2260,共12页Geomatics and Information Science of Wuhan University

基　　金：中国博士后科学基金(2023M732686);国家自然科学基金(42171435);山东省自然科学基金(ZR2021MD006)。

摘　　要：针对异源遥感影像非线性辐射畸变造成的匹配困难问题,提出了基于非线性尺度空间改进的光学与合成孔径雷达(synthetic aperture radar,SAR)影像自动配准方法。首先,通过改进彩色像素对比度计算和线性参数模型,有效增强了影像的对比度信息,提升了光学与SAR影像的辐射一致性,显著提高了同名特征的重复度;其次,利用非线性扩散方程来描述影像扩散特征,改善了高斯尺度空间的边界模糊问题;然后,采用多尺度指数加权均值比算子和Sobel算子分别计算SAR影像和光学影像的梯度信息,继而提取稳定的Harris特征点;最后,联合对数极坐标描述框架生成高区分度特征向量描述子,并通过欧氏距离和快速样本一致性算法剔除误匹配。实验结果表明,相比于经典方法,所提算法在保证精度的情况下能匹配到更多的同名特征点,实现了SAR影像与光学影像的自动和稳健配准。Objectives:It is difficult to solve the matching problem between heterogeneous remote sensing images caused by nonlinear radiometric distortions.Methods:This paper proposes a nonlinear scale-space enhanced automatic matching method for optical and synthetic aperture radar(SAR)images.First,by modifying the calculation of color pixel contrast,the contrast information of images is effectively enhanced.As a result,the repeatability of corresponding points between optical and SAR images can be improved.Second,a nonlinear diffusion equation is employed to describe the image diffusion characteristics,avoiding the issue of boundary blurring in the Gaussian scale-space.Third,the multi-scale ratio of exponentially weighted averages operator and the Sobel operator are utilized to compute the gradient information of SAR and optical images,respectively,followed by the stable extraction of Harris feature points.Finally,log-polar de-scriptor framework is employed to compute a high discriminate feature vector,and the outliers are eliminat-ed by Euclidean distance and fast sample consensus algorithm.Results:The experimental results demonstrate that the proposed method can get more matching points and achieve higher matching accuracy,compared with other classic methods.Conclusions:The proposed method can realize automatic and robust matching for SAR and optical images.

关 键 词：异源遥感影像 对比度增强 非线性扩散滤波 影像配准 

分 类 号：P237[天文地球—摄影测量与遥感]