Estimating Significant Wave Height from SAR with Long Integration Times

Synthetic aperture radar (SAR) is an important means of estimating significant wave height with obvious advantages of all-day, all-weather, high resolution and wide swath coverage. At present, the estimation methods of significant wave height are based on visible ocean waves in SAR images. However,...

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Main Authors: Yawei Zhao, Jinsong Chong, Zongze Li, Xianen Wei, Lijie Diao
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/12/5/2341
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author Yawei Zhao
Jinsong Chong
Zongze Li
Xianen Wei
Lijie Diao
author_facet Yawei Zhao
Jinsong Chong
Zongze Li
Xianen Wei
Lijie Diao
author_sort Yawei Zhao
collection DOAJ
description Synthetic aperture radar (SAR) is an important means of estimating significant wave height with obvious advantages of all-day, all-weather, high resolution and wide swath coverage. At present, the estimation methods of significant wave height are based on visible ocean waves in SAR images. However, due to the characteristic of long integration time for low-frequency SAR (such as P-band, L-band), the ocean waves are usually invisible in SAR images. In addition, in the case that there are multiple wave systems, significant wave height of only one wave system can be estimated for the reason that only a blurred wave system can be observed in SAR images. In order to solve the above two problems, a method of estimating significant wave height from SAR with long integration times is proposed in this paper. Firstly, each ocean wave system is refocused from single-look complex (SLC) data, respectively. Then, without any additional processing, the 180° ambiguity of wave propagation direction is removed based on the optimum focus setting. Finally, significant wave height is estimated in combination with azimuth cutoff, wavelength and propagation direction of ocean waves. This method is applied to two airborne SAR field data with long integration times. One case is that ocean waves are invisible in SAR images, the other is that there are two wave systems on the real ocean surface, but only one is visible in the SAR images. The results show that the proposed method can estimate significant wave height in the cases of invisible ocean waves and multiple ocean waves. The estimation results of significant wave height are compared with the European Centre for Medium-Range Weather Forecast (ECMWF) data, and the error is basically stable within 0.2 m, which verifies the effectiveness of the proposed method.
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spelling doaj.art-cc6bd313fd164eabbd4f6e2a155543bf2023-11-23T22:39:14ZengMDPI AGApplied Sciences2076-34172022-02-01125234110.3390/app12052341Estimating Significant Wave Height from SAR with Long Integration TimesYawei Zhao0Jinsong Chong1Zongze Li2Xianen Wei3Lijie Diao4National Key Lab of Microwave Imaging Technology, Beijing 100190, ChinaNational Key Lab of Microwave Imaging Technology, Beijing 100190, ChinaNational Key Lab of Microwave Imaging Technology, Beijing 100190, ChinaNational Key Lab of Microwave Imaging Technology, Beijing 100190, ChinaNational Key Lab of Microwave Imaging Technology, Beijing 100190, ChinaSynthetic aperture radar (SAR) is an important means of estimating significant wave height with obvious advantages of all-day, all-weather, high resolution and wide swath coverage. At present, the estimation methods of significant wave height are based on visible ocean waves in SAR images. However, due to the characteristic of long integration time for low-frequency SAR (such as P-band, L-band), the ocean waves are usually invisible in SAR images. In addition, in the case that there are multiple wave systems, significant wave height of only one wave system can be estimated for the reason that only a blurred wave system can be observed in SAR images. In order to solve the above two problems, a method of estimating significant wave height from SAR with long integration times is proposed in this paper. Firstly, each ocean wave system is refocused from single-look complex (SLC) data, respectively. Then, without any additional processing, the 180° ambiguity of wave propagation direction is removed based on the optimum focus setting. Finally, significant wave height is estimated in combination with azimuth cutoff, wavelength and propagation direction of ocean waves. This method is applied to two airborne SAR field data with long integration times. One case is that ocean waves are invisible in SAR images, the other is that there are two wave systems on the real ocean surface, but only one is visible in the SAR images. The results show that the proposed method can estimate significant wave height in the cases of invisible ocean waves and multiple ocean waves. The estimation results of significant wave height are compared with the European Centre for Medium-Range Weather Forecast (ECMWF) data, and the error is basically stable within 0.2 m, which verifies the effectiveness of the proposed method.https://www.mdpi.com/2076-3417/12/5/2341significant wave heightsynthetic aperture radarlong integration time
spellingShingle Yawei Zhao
Jinsong Chong
Zongze Li
Xianen Wei
Lijie Diao
Estimating Significant Wave Height from SAR with Long Integration Times
Applied Sciences
significant wave height
synthetic aperture radar
long integration time
title Estimating Significant Wave Height from SAR with Long Integration Times
title_full Estimating Significant Wave Height from SAR with Long Integration Times
title_fullStr Estimating Significant Wave Height from SAR with Long Integration Times
title_full_unstemmed Estimating Significant Wave Height from SAR with Long Integration Times
title_short Estimating Significant Wave Height from SAR with Long Integration Times
title_sort estimating significant wave height from sar with long integration times
topic significant wave height
synthetic aperture radar
long integration time
url https://www.mdpi.com/2076-3417/12/5/2341
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AT zongzeli estimatingsignificantwaveheightfromsarwithlongintegrationtimes
AT xianenwei estimatingsignificantwaveheightfromsarwithlongintegrationtimes
AT lijiediao estimatingsignificantwaveheightfromsarwithlongintegrationtimes