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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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 |
_version_ |
1721565406177525760 |