电波科学学报2026，Vol.41Issue(1)：172-186,15.DOI:10.12265/j.cjors.2025026
基于分层模型的单角度SAR舰船目标图像三维形状信息提取技术
Three-dimensional shape information extraction technology of ship targets in single-angle SAR images based on layered model
摘要
Abstract
The three-dimensional shape information of the target is of great significance for synthetic aperture radar(SAR)image interpretation and target recognition.To address the challenge of hierarchical extraction of overlapping regions due to the complex three-dimensional structure of ship targets,a method for extracting the 3D shape information of ship targets in single-angle SAR images based on a layered model is proposed.This method first constructs a layered model based on the three-dimensional structural features of the ship target,decomposing it into combinations of one-layer,two-layer,and three-layer structures.Then,based on the differences in shape,size,and height of the various structures,and combined with the prior information of the layered model,the overlapping regions of each layer are extracted.Finally,the height information of each layer is calculated using spatial mapping relationships,and by combining the length and width data of the overlapping regions in each layer,the three-dimensional shape information of the ship target is extracted,while also analyzing the effect of the azimuth angle.Experimental results show that the proposed method demonstrates good capability in extracting three-dimensional shape information from high-resolution SAR images of stationary ship targets.Compared to other methods,this approach offers advantages such as simple principles and ease of implementation,providing a novel solution for extracting three-dimensional shape information from SAR ship target images.关键词
单角度合成孔径雷达(SAR)/三维形状信息/分层模型/舰船目标/目标识别Key words
single-angle synthetic aperture radar(SAR)/3D shape information/layered model/ship target/target recognition分类
信息技术与安全科学引用本文复制引用
李金灯,冷祥光,张思乾,计科峰..基于分层模型的单角度SAR舰船目标图像三维形状信息提取技术[J].电波科学学报,2026,41(1):172-186,15.基金项目
国家自然科学基金(62001480,62471475) （62001480,62471475）
湖南省自然科学基金(2024JJ4045) （2024JJ4045）
湖南省科技创新计划(2024RC3124) （2024RC3124）
青年人才托举工程 National Natural Science Foundation of China(62001480,62471475) （62001480,62471475）
Hunan Provincial Natural Science Foundation of China(2024JJ4045) （2024JJ4045）
the Science and Technology Innovation Program of Hunan Province(2024RC3124) （2024RC3124）
Young Elite Scientists Sponsorship Program （）
