曾涛^{1, 2,},
温育涵^1,,
王岩^{1, 2,,},
丁泽刚^{1, 2,},
卫扬铠^1,,
袁跳跳^1,
1.北京理工大学信息与电子学院雷达技术研究所 北京 100081
2.北京理工大学重庆创新中心 重庆 401120
基金项目:国家****基金(61625103)，北京市自然科学基金(4202067)，国家自然科学基金(11833001, 61931002)

详细信息

作者简介:曾涛：曾　涛(1971–)，男，北京理工大学研究员、博士生导师，主要研究方向为雷达信息、信号处理与系统设计
温育涵(1995–)，男，北京理工大学硕士研究生，主要研究方向为合成孔径雷达信号处理与成像
王岩：王　岩(1989–)，男，北京理工大学副研究员、博士生导师，主要研究方向为新体制合成孔径雷达成像处理、干涉和极化应用技术等
丁泽刚(1980–)，男，北京理工大学研究员、博士生导师，主要研究方向为新体制合成孔径雷达成像机理、成像处理和图像信息提取
卫扬铠(1995–)，男，北京理工大学博士研究生，主要研究方向为合成孔径雷达信号处理
袁跳跳(1996–)，男，北京理工大学硕士研究生，主要研究方向为合成孔径雷达信号处理

通讯作者:王岩 yan_wang@bit.edu.cn

责任主编：文贡坚 Corresponding Editor: WEN Gongjian
中图分类号:TN95

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出版历程

收稿日期:2021-01-11
修回日期:2021-03-21
网络出版日期:2021-04-12
刊出日期:2021-06-28

Research Progress on Synthetic Aperture Radar Parametric Imaging Methods

ZENG Tao^{1, 2,},
WEN Yuhan^1,,
WANG Yan^{1, 2,,},
DING Zegang^{1, 2,},
WEI Yangkai^1,,
YUAN Tiaotiao^1,
1. Radar Research Lab, School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China
2. Beijing Institute of Technology Chongqing Innovation Center, Chongqing 401120, China
Funds:The National Science Fund for Distinguished Young Scholars (61625103), The Beijing Natural Science Foundation (4202067), The National Natural Science Foundation of China (11833001, 61931002)

More Information

Corresponding author:WANG Yan, yan_wang@bit.edu.cn

摘要
摘要:传统合成孔径雷达(SAR)成像可视为点目标散射模型约束下数据空间到图像空间的映射。然而，真实目标多为延展目标，与传统线性成像处理中的点目标散射模型存在失配，会导致SAR图像表征失真。常见的现象是使延展目标多呈现为孤立强点，阻碍了基于SAR图像的目标辨识等应用。SAR参数化成像技术是为解决上述模型失配问题而诞生的一种非线性成像方法，特点是兼顾点目标和延展目标的散射模型。具体来说，是通过利用不同类别目标的回波或图像的相位与幅度特征对观测角度的敏感性，辨识目标类型，反演目标散射参数，进而根据目标散射的参数化模型，重建目标图像的技术。在对延展目标成像时，可获得比传统线性成像方法更好的图像质量。该文主要介绍了线型延展目标的参数化成像技术，对应真实场景中的孤立强点和连续边缘，深入讨论了基于回波域、图像域的参数化成像技术和试验结果，展望了未来SAR参数化成像技术的发展趋势。
关键词:合成孔径雷达/
参数化成像/
延展目标
Abstract:Under the constraints of the point scattering model, traditional Synthetic Aperture Radar (SAR) imaging algorithms can be regarded as a mapping from data space to image space. However, most objects in the real scene are extended targets, which are mismatched with the point scattering model in traditional linear imaging algorithms. The abovementioned reasons lead to the distortion of SAR image representation. A common phenomenon is that the extended targets appear as isolated scattered points, which hinder the application of target recognition on the basis of SAR images. SAR parametric nonlinear imaging techniques are established to solve the abovementioned model mismatch problem. Such methods are characterized by the scattering models that consider point targets and extended targets. Specifically, by using the sensitivity of the phase and amplitude characteristics of the echoes or images to the observation angles, SAR parametric imaging methods can first identify the target type and estimate the scattering parameters, and then reconstruct the target image on the basis of the scattering model. SAR parametric imaging methods can obtain better image quality than traditional linear methods for extended targets. This article mainly introduces the parametric imaging methods of linear extended targets, which correspond to the isolated strong points and continuous edges of objects in the real scene, and discusses the parametric imaging methods on the basis of the echo and image domains and experimental results. Last, the future development trends of SAR parametric imaging methods are discussed.
Key words:Synthetic Aperture Radar (SAR)/
Parametric imaging/
Extended targets



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