海军航空大学学报2026，Vol.41Issue(1)：197-206,10.DOI:10.7682/j.issn.2097-1427.2026.01.010
旋转自适应的SAR-可见光图像深度匹配方法
Rotation-Adaptive Deep Matching Method for SAR-Optical Images
摘要
Abstract
To address the feature mismatch problem caused by imaging mechanism differences and viewpoint variations in cross-modal matching,an adaptive matching method for SAR and optical heterogeneous images is proposed.To avoid the challenges of handcrafted feature design and the high cost of data annotation,the LightGlue deep matcher is innovatively adapted to the SAR-optical matching scenario for the first time.For cross-modal feature representation dis-crepancies,a cascaded feature alignment preprocessing pipeline is designed,incorporating non-local means denoising,Gaussian filtering,and CLAHE enhancement in Lab color space to improve feature consistency.To handle cross-viewpoint rotation variations,a two-stage dynamic step search algorithm based on multi-metric constraints is proposed,optimizing angular accuracy via dynamic exponential decay and computational efficiency through a dual-stage parallel strategy.Experiments on high-resolution aerial images demonstrate that the proposed method achieves a matching suc-cess rate of 84.21%,an angular estimation accuracy of±1.875°,and reduces matching time to 15.33 seconds,providing a novel technical paradigm for heterogeneous image registration.关键词
SAR-可见光匹配/跨模态特征对齐/动态角度搜索/深度匹配Key words
SAR-optical matching/cross-modal feature alignment/dynamic angle search/deep matching分类
信息技术与安全科学引用本文复制引用
周双倩,杨子骏,马蔼彤,周慧婕,牛轶峰..旋转自适应的SAR-可见光图像深度匹配方法[J].海军航空大学学报,2026,41(1):197-206,10.基金项目
国家自然科学基金(62576349) （62576349）
