Optical flow-based method to estimate internal wave parameters from X-band marine radar images

Jinghan Wen; Zhongbiao Chen; Yijun He

doi:10.1007/s13131-022-1988-2

Volume 41 Issue 9

Aug. 2022

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Article Navigation > Acta Oceanologica Sinica > 2022 > 41(9): 149-157

Jinghan Wen, Zhongbiao Chen, Yijun He. Optical flow-based method to estimate internal wave parameters from X-band marine radar images[J]. Acta Oceanologica Sinica, 2022, 41(9): 149-157. doi: 10.1007/s13131-022-1988-2

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Jinghan Wen, Zhongbiao Chen, Yijun He. Optical flow-based method to estimate internal wave parameters from X-band marine radar images[J]. Acta Oceanologica Sinica, 2022, 41(9): 149-157. doi: 10.1007/s13131-022-1988-2

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Optical flow-based method to estimate internal wave parameters from X-band marine radar images

doi: 10.1007/s13131-022-1988-2

1.
School of Marine Sciences, Nanjing University of Information Science & Technology, Nanjing 210044, China
2.
Key Laboratory of Space Ocean Remote Sensing and Applications, National Satellite Ocean Application Service, Beijing 100081, China

Funds: The National Natural Science Foundation of China under contract Nos 41620104003 and 42027805; the National Natural Science Youth Foundation of China under contract No. 41506199.

More Information

Corresponding author: yjhe@nuist.edu.cn
Received Date: 2021-08-05
Accepted Date: 2022-01-18

Available Online: 2022-06-07

Publish Date: 2022-08-31

Abstract

Abstract

The velocity and direction of internal waves (IWs) are important parameters of the ocean, however, traditional observation methods can only obtain the average parameters of IWs for a single location or large area. Herein, a new method based on optical flow is proposed to derive the phase velocity vectors of IWs from X-band marine radar images. First, the X-band marine radar image sequence is averaged, and ramp correction is used to reduce the attenuation of gray values with increasing radial range. Second, the average propagation direction of the IWs is determined using the two-dimensional Fourier transform of the radar images; two radial profiles along this direction are selected from two adjacent radar images; and then, the average phase velocity of the IWs is estimated from these radial profiles. Third, the averaged radar images are processed via histogram equalization and binarization to reduce the influence of noise on the radar images. Fourth, a weighting factor is determined using the average phase velocity of a reference point; the phase velocities on the wave crest of the IWs are subsequently estimated via the optical flow method. Finally, the proposed method is validated using X-band marine radar image sequences observed on an oil platform in the South China Sea, and the error of the phase velocity is calculated to be 0.000 3–0.073 8 m/s. The application conditions of the proposed method are also discussed using two different types of IW packets.
- internal wave,
- X-band marine radar,
- optical flow,
- phase velocity

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References

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