Optical and SAR image matching method based on scale constraint and phase congruency features

SI Guangli; CHEN Yun; Li Zeyi; Zhang Wei

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Optical and SAR image matching method based on scale constraint and phase congruency features

Optical Image Processing | 更新时间：2026-01-05

- Optical and SAR image matching method based on scale constraint and phase congruency features
- OPTICAL TECHNIQUE Vol. 51, Issue 6, Pages: 756-762(2025)
- 作者机构：
  
  1.青海省无线电监测站，青海西宁 810002
  2.成都中星世通电子科技有限公司，四川成都 610000
  3.电磁空间安全全国重点实验室，四川成都 610000
- 作者简介：
- 基金信息：
- DOI：
  CLC： P23
- Received：27 August 2025，
  
  Revised：2025-09-18，
  
  Published：20 November 2025
- 稿件说明：
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司广莉,陈云,李泽一等.基于尺度约束和相位一致特征的光学、SAR影像匹配方法[J].光学技术,2025,51(06):756-762.

SI Guangli,CHEN Yun,Li Zeyi,et al.Optical and SAR image matching method based on scale constraint and phase congruency features[J].OPTICAL TECHNIQUE,2025,51(06):756-762.
司广莉,陈云,李泽一等.基于尺度约束和相位一致特征的光学、SAR影像匹配方法[J].光学技术,2025,51(06):756-762. DOI：

SI Guangli,CHEN Yun,Li Zeyi,et al.Optical and SAR image matching method based on scale constraint and phase congruency features[J].OPTICAL TECHNIQUE,2025,51(06):756-762. DOI：

摘要

光学、合成孔径雷达（SAR）影像之间存在显著的乘性噪声，导致常规图像匹配算法无法适应。首先介绍了具有辐射不变形的相位一致性响应以及高斯尺度空间。借助高斯函数能够模拟人眼视觉系统在尺度空间获取的稳态特征约束的同时，相位一致响应提供的局部细节特征，从而构建一种对特征点全面描述的描述符——高斯和相位一致统计图（GPCS）。最后在真实光学、SAR影像数据集中筛选同名点匹配。实验表明，文章方法对光学、SAR影像之间的鲁棒特征具有较强的提取能力，匹配精度较高。

Abstract

There is significant multiplicative noise between Synthetic Aperture Radar （SAR） and optical images

which makes image matching algorithms inapplicable. Firstly the Gaussian scale space and the phase congruency model with radiometric invariance are introduced . By utilizing the Gaussian function to mimic the steady-state feature constraints of the human visual system within the scale space and integrating the local detail characteristics offered by phase congruency responses

a comprehensive feature descriptor

Gaussian and Phase Congruency Statistics Map （GPCS）

is developed. Finally

the homonymous points are matched in a real optical and SAR image dataset. Experiments show that the method proposed in this paper has a strong ability to extract robust features between optical and SAR images and has a high matching accuracy.

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references

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