An ascending and descending rail radar image matching method and device, electronic equipment and medium

By using geocoding and geometrically guided normalization of view-sensitive consistency maps, combined with a multi-constraint matching strategy, the problem of adaptability to geometric changes between ascending and descending SAR images was solved, achieving high-precision image matching and positioning.

CN122415696APending Publication Date: 2026-07-17CHINA SURVEY SURVEYING & MAPPING TECH

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
CHINA SURVEY SURVEYING & MAPPING TECH
Filing Date
2026-04-23
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing SAR image matching methods are not adaptable enough to geometric changes between ascending and descending orbit images, resulting in a small number of matching points or a high mismatch rate, making it impossible to achieve high-precision geometric processing and information extraction.

Method used

A unified spatial benchmark is established through geocoding, a view-sensitive consistency map is constructed and geometrically guided normalization is performed, a reliable matching point set is selected by combining a multi-constraint matching strategy, and image registration is performed using a second-order polynomial geometric mapping model.

Benefits of technology

It improves the robustness and positioning accuracy of SAR image matching under conditions of large viewing angle differences, and provides high-quality geometric reference data to support joint positioning and deformation monitoring of SAR images from different orbits.

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Abstract

本发明涉及卫星遥感影像处理技术领域,具体涉及一种升降轨雷达影像匹配方法、装置、电子设备及介质,其中,升降轨雷达影像匹配方法包括:获取地理编码后的升轨影像与降轨影像;获取升轨特征点集与降轨特征点集;构建特征点集中各特征点的描述子;对升轨特征点集与降轨特征点集进行匹配,得到可靠匹配点集;对升轨影像与降轨影像进行几何配准,完成影像匹配。上述方法通过将轨道方位角差与入射角差作为先验约束引入特征描述与匹配全过程,几何导向归一化机制补偿升降轨影像间的方位反转与入射角差异,多约束联合匹配策略实现了从特征提取到几何映射的全链路误差控制,提升了SAR影像匹配的鲁棒性与定位精度。
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