Method for high-resolution SAR imaging based on inverse radon transform

The influence of high-frequency platform vibration needs to be considered in the synthetic aperture radar (SAR) signal processing, especially at the case that the carrier frequency is in high frequency band. The existence of the vibration will cause the SAR images not to focus. In this study, a nove...

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Main Authors: Zhaofa Wang, Yong Wang, Liang Xu
Format: Article
Language:English
Published: Wiley 2019-09-01
Series:The Journal of Engineering
Subjects:
Online Access:https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0576
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spelling doaj-be1285088df7473ba747e62dd6d18b2f2021-04-02T13:19:48ZengWileyThe Journal of Engineering2051-33052019-09-0110.1049/joe.2019.0576JOE.2019.0576Method for high-resolution SAR imaging based on inverse radon transformZhaofa Wang0Yong Wang1Liang Xu2Harbin Institute of TechnologyHarbin Institute of TechnologyHarbin Institute of TechnologyThe influence of high-frequency platform vibration needs to be considered in the synthetic aperture radar (SAR) signal processing, especially at the case that the carrier frequency is in high frequency band. The existence of the vibration will cause the SAR images not to focus. In this study, a novel method for SAR imaging is proposed to enhance the focus performance, where the inverse radon transform based method is employed to estimate the vibration parameters. The effectiveness of the proposed method is verified by simulation results.https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0576synthetic aperture radarradon transformsradar imaginginverse transformsimage resolutionradar resolutionvibrationshigh-frequency platform vibrationsynthetic aperture radar signal processingcarrier frequencyhigh frequency bandfocus performancevibration parametershigh-resolution sar imaginginverse radon transforms
collection DOAJ
language English
format Article
sources DOAJ
author Zhaofa Wang
Yong Wang
Liang Xu
spellingShingle Zhaofa Wang
Yong Wang
Liang Xu
Method for high-resolution SAR imaging based on inverse radon transform
The Journal of Engineering
synthetic aperture radar
radon transforms
radar imaging
inverse transforms
image resolution
radar resolution
vibrations
high-frequency platform vibration
synthetic aperture radar signal processing
carrier frequency
high frequency band
focus performance
vibration parameters
high-resolution sar imaging
inverse radon transforms
author_facet Zhaofa Wang
Yong Wang
Liang Xu
author_sort Zhaofa Wang
title Method for high-resolution SAR imaging based on inverse radon transform
title_short Method for high-resolution SAR imaging based on inverse radon transform
title_full Method for high-resolution SAR imaging based on inverse radon transform
title_fullStr Method for high-resolution SAR imaging based on inverse radon transform
title_full_unstemmed Method for high-resolution SAR imaging based on inverse radon transform
title_sort method for high-resolution sar imaging based on inverse radon transform
publisher Wiley
series The Journal of Engineering
issn 2051-3305
publishDate 2019-09-01
description The influence of high-frequency platform vibration needs to be considered in the synthetic aperture radar (SAR) signal processing, especially at the case that the carrier frequency is in high frequency band. The existence of the vibration will cause the SAR images not to focus. In this study, a novel method for SAR imaging is proposed to enhance the focus performance, where the inverse radon transform based method is employed to estimate the vibration parameters. The effectiveness of the proposed method is verified by simulation results.
topic synthetic aperture radar
radon transforms
radar imaging
inverse transforms
image resolution
radar resolution
vibrations
high-frequency platform vibration
synthetic aperture radar signal processing
carrier frequency
high frequency band
focus performance
vibration parameters
high-resolution sar imaging
inverse radon transforms
url https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0576
work_keys_str_mv AT zhaofawang methodforhighresolutionsarimagingbasedoninverseradontransform
AT yongwang methodforhighresolutionsarimagingbasedoninverseradontransform
AT liangxu methodforhighresolutionsarimagingbasedoninverseradontransform
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