现代电子技术2026，Vol.49Issue(1)：54-58,5.DOI:10.16652/j.issn.1004-373x.2026.01.009
基于隐含特征和SIFT方法的SAR图像多尺度配准
SAR image multi-scale registration based on implicit features and SIFT method
摘要
Abstract
In view of the uneven distribution of feature points and insufficient matching in the process of SAR(synthetic aperture radar)image registration,an SAR image multi-scale registration method based on implicit features and SIFT(scale-invariant feature transform)method is proposed.After polarization decomposition of SAR images,the Wishart distribution is used to describe the coherence matrix gradient of SAR images,and then resolution units 1 to 2 are used to describe the Wishart gradient of SAR images,obtaining a single-stage SAR image ratio gradient.This ratio gradient is the implicit feature of SAR images.The SIFT method is used to establish an SAR multi-scale space,and a downsampled image of SAR images is generated in this multi-scale space.The single-stage SAR image ratio gradient is calculated on the basis of the downsampled image.According to the implicit features of SAR images,the feature extremum points and the main direction of the feature points are determined,and uniform SAR image multi-scale registration feature description vectors are generated.And then,the distances between the feature description vectors are described with Euclidean distance,so as to realize multi-scale registration of SAR images.The experimental results show that the proposed method has strong ability to extract implicit features from SAR images,and can achieve high-quality multi-scale registration in the presence of scaling and rotation of SAR images,with good applicability.关键词
隐含特征/SIFT方法/SAR图像/多尺度配准/极化分解/Wishart梯度/特征极值点/描述向量Key words
implicit feature/SIFT method/SAR image/multi-scale registration/polarization decomposition/Wishart gradient/feature extremum point/describing vector分类
信息技术与安全科学引用本文复制引用
蒙倩颜,闫立誉,叶俊明,邓云逸..基于隐含特征和SIFT方法的SAR图像多尺度配准[J].现代电子技术,2026,49(1):54-58,5.基金项目
2024年度广西高校中青年教师科研基础能力提升项目(2024KY0200) （2024KY0200）
校级教改项目(JGKJ202340) （JGKJ202340）
