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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MDPI AG
2022-02-01
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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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