空天预警研究学报2026，Vol.40Issue(1)：8-14,7.DOI:10.3969/j.issn.2097-180X.2026.01.002
基于深度线结构提取的点线联合光-SAR图像配准方法
Point-line joint optical-SAR image registration method based on deep line structure extraction
摘要
Abstract
In order to address problems of unstable point features,fractures and mismatching of line struc-tures caused by noise interference,geometric distortions,and modal discrepancies in optical and synthetic aperture radar(SAR)image registration,this paper proposes a registration method of point-line graph-matching attention network(PLG-MAN).The method develops a few-shot SAR line structure extraction module,which integrates self-supervised pretraining,multi-scale contextual modeling,and attention mechanisms to enhance the connectivi-ty of long-line skeleton features,and furthermore,introduces a line-endpoint cross-attention mechanism into the point-line joint matching stage to explicitly model the geometric correspondences between line-endpoints.Experi-mental results demonstrate that the method outperforms OS-SIFT,SuperGlue and ALIKED methods in terms of the number of point matching,the reprojection root-mean-square error(RMSE)of point matching,spatial cover-age and other indicators,and that PLG-MAN enables more stable and more accurate optical-SAR registration un-der scenarios with high-noise and geometric distortions.关键词
光-SAR图像配准/深度线结构提取/点线联合/线端点交叉注意力机制Key words
optical-SAR image registration/deep line structure extraction/point-line joint/line-endpoint cross-attention mechanism分类
信息技术与安全科学引用本文复制引用
项德良,张格,李韶亮,孙晓坤,胡粲彬..基于深度线结构提取的点线联合光-SAR图像配准方法[J].空天预警研究学报,2026,40(1):8-14,7.基金项目
国家自然科学基金项目(62171015) （62171015）
