利用秩自相似特征的光学和SAR图像快速匹配方法

doi:10.11947/j.AGCS.2025.20250200

测绘学报 ›› 2025, Vol. 54 ›› Issue (10): 1852-1862.doi: 10.11947/j.AGCS.2025.20250200

利用秩自相似特征的光学和SAR图像快速匹配方法

熊新¹^,²(), 靳国旺¹^,²(), 崔瑞兵¹^,³, 李烁², 杨鹤⁴

^1.信息工程大学，河南　郑州　450001
^2.智能空间信息国家级重点实验室，北京　100094
^3.河南测绘职业学院，河南　郑州　450000
^4.河南省交通事业发展中心，河南　郑州　450000

收稿日期:2025-05-12 修回日期:2025-07-28 出版日期:2025-11-14 发布日期:2025-11-14
通讯作者: 靳国旺 E-mail:xiongxinhbhh@163.com;guowang_jin@163.com
作者简介:熊新（1991—），男，博士，讲师，研究方向为微波遥感。E-mail：xiongxinhbhh@163.com
基金资助:
国家自然科学基金(42201492);河南省自然科学基金优秀青年基金(252300421206);国家重点研发计划(2023YFB2604001);2022年度河南省交通运输科研资金计划(2022-3-2)

Fast matching method of optical and SAR images using rank self-similarity features

Xin XIONG¹^,²(), Guowang JIN¹^,²(), Ruibing CUI¹^,³, Shuo LI², He YANG⁴

^1.Information Engineering University, Zhengzhou 450001, China
^2.National Key Laboratory of Intelligent Spatial Information, Beijing 100094, China
^3.Henan College of Surveying and Mapping, Zhengzhou 450000, China
^4.Transportation Development Center of Henan Province, Zhengzhou 450000, China

Received:2025-05-12 Revised:2025-07-28 Online:2025-11-14 Published:2025-11-14
Contact: Guowang JIN E-mail:xiongxinhbhh@163.com;guowang_jin@163.com
About author:XIONG Xin (1991—), male, PhD, lecturer, majors in microwave remote sensing. E-mail: xiongxinhbhh@163.com
Supported by:
The National Natural Science Foundation of China(42201492);The Natural Science Foundation for Excellent Young Scholars of Henan Province(252300421206);The National Key Research and Development Program of China(2023YFB2604001);2022 Transportation Research Funding Plan of Henan(2022-3-2)

摘要/Abstract

摘要：

为了解决光学和合成孔径雷达（SAR）图像辐射差异及SAR图像固有相干斑引起的两类图像匹配难题，本文提出了利用秩自相似（RSS）特征三维相位相关（PC）的光学和SAR图像快速匹配方法。本文方法采用偏移均值滤波实现图像RSS特征快速提取，利用快速傅里叶变换实现三维PC高效模板匹配。在公开数据集中随机选取200个光学和SAR图像对进行匹配试验，结果表明本文方法能够实现快速且可靠的光学和SAR图像匹配。光学图像和天绘二号SAR图像的匹配结果进一步验证了本文方法的有效性。

关键词: 光学图像, 合成孔径雷达图像, 秩自相似, 快速傅里叶变换, 三维相位相关

Abstract:

To address the image matching challenges arising from the radiometric differences between optical and synthetic aperture radar (SAR) images as well as the speckles inherent in SAR images, a novel and efficient matching method for optical and SAR images is proposed based on 3D phase correlation (PC) of rank self-similarity (RSS) features. The RSS features are extracted rapidly using offset mean filtering, while efficient template matching based on 3D PC is achieved via fast Fourier transform. Experiments conduct on 200 randomly selected optical and SAR image pairs from public datasets demonstrate that the proposed method achieves both reliable and efficient matching of optical and SAR images. The matching results between optical images and Tianhui-2 SAR images further validate the effectiveness of proposed method.

Key words: optical image, synthetic aperture radar image, rank self-similarity, fast Fourier transform, 3D phase correlation

中图分类号:

P237

熊新, 靳国旺, 崔瑞兵, 李烁, 杨鹤. 利用秩自相似特征的光学和SAR图像快速匹配方法[J]. 测绘学报, 2025, 54(10): 1852-1862.

Xin XIONG, Guowang JIN, Ruibing CUI, Shuo LI, He YANG. Fast matching method of optical and SAR images using rank self-similarity features[J]. Acta Geodaetica et Cartographica Sinica, 2025, 54(10): 1852-1862.

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方法	平均匹配正确率	匹配成功率	平均均方根误差/像素	平均匹配耗时/s
DLSS	0.314	0.950	1.939	43.064
DRLSS	0.375	0.960	1.928	60.740
HOPC	0.376	0.950	1.906	35.675
WED-HOPC	0.363	0.960	1.960	42.104
CFOG	0.260	0.905	1.943	1.494
FRSS	0.423	0.950	1.863	1.323

参数类型	廊坊地区	登封地区
获取时间	2020-05-05	2019-10-14
中心入射角/（°）	37.78	40.03
方位向采样间隔/m	2.050 633	1.879 528
距离向采样间隔/m	0.936 851	0.936 851
方位向像元数/像素	19 902	19 414
距离向像元数/像素	21 910	23 014
近距延迟/m	665 688.570 473	688 592.988 933

试验区域	匹配点数量	匹配耗时/s
廊坊地区	351	66.068
登封地区	348	65.234

利用秩自相似特征的光学和SAR图像快速匹配方法

Fast matching method of optical and SAR images using rank self-similarity features

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