Research Progress on Synthetic Aperture Radar Parametric Imaging Methods

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 tradit...

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Main Authors: Tao ZENG, Yuhan WEN, Yan WANG, Zegang DING, Yangkai WEI, Tiaotiao YUAN
Format: Article
Language:English
Published: China Science Publishing & Media Ltd. (CSPM) 2021-06-01
Series:Leida xuebao
Subjects:
Online Access:https://radars.ac.cn/cn/article/doi/10.12000/JR21004
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author Tao ZENG
Yuhan WEN
Yan WANG
Zegang DING
Yangkai WEI
Tiaotiao YUAN
author_facet Tao ZENG
Yuhan WEN
Yan WANG
Zegang DING
Yangkai WEI
Tiaotiao YUAN
author_sort Tao ZENG
collection DOAJ
description 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.
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spelling doaj.art-27c3f90e9427476185550fa20f9b79e02023-12-02T06:31:00ZengChina Science Publishing & Media Ltd. (CSPM)Leida xuebao2095-283X2021-06-0110332734110.12000/JR21004R21004Research Progress on Synthetic Aperture Radar Parametric Imaging MethodsTao ZENG0Yuhan WEN1Yan WANG2Zegang DING3Yangkai WEI4Tiaotiao YUAN5Radar Research Lab, School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, ChinaRadar Research Lab, School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, ChinaRadar Research Lab, School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, ChinaRadar Research Lab, School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, ChinaRadar Research Lab, School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, ChinaRadar Research Lab, School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, ChinaUnder 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.https://radars.ac.cn/cn/article/doi/10.12000/JR21004synthetic aperture radar (sar)parametric imagingextended targets
spellingShingle Tao ZENG
Yuhan WEN
Yan WANG
Zegang DING
Yangkai WEI
Tiaotiao YUAN
Research Progress on Synthetic Aperture Radar Parametric Imaging Methods
Leida xuebao
synthetic aperture radar (sar)
parametric imaging
extended targets
title Research Progress on Synthetic Aperture Radar Parametric Imaging Methods
title_full Research Progress on Synthetic Aperture Radar Parametric Imaging Methods
title_fullStr Research Progress on Synthetic Aperture Radar Parametric Imaging Methods
title_full_unstemmed Research Progress on Synthetic Aperture Radar Parametric Imaging Methods
title_short Research Progress on Synthetic Aperture Radar Parametric Imaging Methods
title_sort research progress on synthetic aperture radar parametric imaging methods
topic synthetic aperture radar (sar)
parametric imaging
extended targets
url https://radars.ac.cn/cn/article/doi/10.12000/JR21004
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AT yanwang researchprogressonsyntheticapertureradarparametricimagingmethods
AT zegangding researchprogressonsyntheticapertureradarparametricimagingmethods
AT yangkaiwei researchprogressonsyntheticapertureradarparametricimagingmethods
AT tiaotiaoyuan researchprogressonsyntheticapertureradarparametricimagingmethods