系统工程与电子技术 ›› 2026, Vol. 48 ›› Issue (9): 2969-2978.doi: 10.12305/j.issn.1001-506X.2026.09.10

• 传感器与信号处理 • 上一篇    

基于多视角ISAR图像的雷达目标三维重建方法

吴少杰1(), 李开明2, 秦钢1, 张昊1, 邓冬虎1(), 宋喜团3   

  1. 1. 西北工业大学光电与智能研究院,陕西 西安 710072
    2. 空军工程大学信息与导航学院,陕西 西安 710077
    3. 中国人民解放军 93453部队,山西 朔州 038300
  • 收稿日期:2025-09-15 修回日期:2025-12-13 接受日期:2026-02-03 出版日期:2026-03-26 发布日期:2026-03-26
  • 通讯作者: 邓冬虎 E-mail:1820131249@qq.com;dengdonghu@nwpu.edu.cn
  • 作者简介:吴少杰(2001—),男,硕士研究生,主要研究方向为雷达三维成像技术
    李开明(1982—),男,副教授,博士,主要研究方向为雷达信号处理、雷达成像与目标识别
    秦 钢(2003—),男,硕士研究生,主要研究方向为雷达信号处理
    张 昊(2001—),男,硕士研究生,主要研究方向为雷达信号处理
    宋喜团(1986—),男,工程师,博士,主要研究方向为电子对抗
  • 基金资助:
    国家自然科学基金(62371468)资助课题

3D reconstruction method for radar targets based on multi-view ISAR images

Shaojie Wu1(), Kaiming Li2, Gang Qin1, Hao Zhang1, Donghu Deng1(), Xituan Song3   

  1. 1. School of Artificial Intelligence,Optics and Electronics,Northwestern Polytechnical University,Xi’an 710072,China
    2. Institute of Information and Navigation,Air Force Engineering University,Xi’an 710077,China
    3. Unit 93453 of PLA,Shuozhou 038300,China
  • Received:2025-09-15 Revised:2025-12-13 Accepted:2026-02-03 Online:2026-03-26 Published:2026-03-26
  • Contact: Donghu Deng E-mail:1820131249@qq.com;dengdonghu@nwpu.edu.cn

摘要:

为实现对目标空间结构的高精度重构,提出一种基于多视角逆合成孔径雷达图像的雷达目标三维重建方法。首先,对目标进行回波建模。然后,采用方向性的高速特征检测与旋转不变特征描述算法对预处理后的目标逆合成孔径雷达图像进行特征点匹配,并利用奇异值分解进行目标散射点三维重建;结合几何一致性验证,剔除误匹配点,减小重建误差。最后,通过多视角图像的多轮重建修正,提升三维重建的准确度,得到较为完整、清晰的目标三维像。仿真验证了该方法的有效性。

关键词: 雷达目标, 多视角逆合成孔径雷达像, 特征点匹配, 三维重建

Abstract:

To achieve high-precision reconstruction of the target spatial structure, this paper proposes a radar target 3D reconstruction method based on multi-view inverse synthetic aperture radar (ISAR) images. Firstly, echo modeling is performed on the target. Then, oriented features from accelerated segment test and rotated binary robust independent elementary features (ORB) algorithm is used to match the feature points of the preprocessed ISAR image of the target. Singular value decomposition (SVD) is used to reconstruct the three-dimensional scattering points of the target. Combined with geometric consistency verification, false matching points are eliminated to reduce reconstruction errors. Finally, through multiple rounds of reconstruction correction of multi view images, the accuracy of three-dimensional reconstruction is improved, and a relatively complete and clear three-dimensional image of the target is obtained. The simulation verifies the effectiveness of the method.

Key words: radar target, multi-view inverse synthetic aperture radar image, feature point matching, three-dimensional reconstruction

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