Estimation of peak wave period from surface texture motion in videos

Haipeng Yu; Xiaoliang Chu; Guang Yuan

doi:10.1007/s13131-024-2359-y

Volume 43 Issue 9

Sep. 2024

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Haipeng Yu, Xiaoliang Chu, Guang Yuan. Estimation of peak wave period from surface texture motion in videos[J]. Acta Oceanologica Sinica, 2024, 43(9): 136-144. doi: 10.1007/s13131-024-2359-y

Citation:

Haipeng Yu, Xiaoliang Chu, Guang Yuan. Estimation of peak wave period from surface texture motion in videos[J]. Acta Oceanologica Sinica, 2024, 43(9): 136-144. doi: 10.1007/s13131-024-2359-y

Haipeng Yu, Xiaoliang Chu, Guang Yuan. Estimation of peak wave period from surface texture motion in videos[J]. Acta Oceanologica Sinica, 2024, 43(9): 136-144. doi: 10.1007/s13131-024-2359-y

Citation:

Haipeng Yu, Xiaoliang Chu, Guang Yuan. Estimation of peak wave period from surface texture motion in videos[J]. Acta Oceanologica Sinica, 2024, 43(9): 136-144. doi: 10.1007/s13131-024-2359-y

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Estimation of peak wave period from surface texture motion in videos

doi: 10.1007/s13131-024-2359-y

College of Physics and Optoelectronic Engineering, Ocean University of China, Qingdao 266100, China

Funds: The Key R&D Program of Shandong Province under contract No. 2023CXPT101.

More Information

Corresponding author: E-mail: xlchu@ouc.edu.cn
Received Date: 2024-03-19
Accepted Date: 2024-06-24

Available Online: 2024-08-01

Publish Date: 2024-09-01

Abstract

Abstract

Wave information retrieval from videos captured by a single camera has been increasingly applied in marine observation. However, when the camera observes ocean waves at low grazing angles, the accurate extraction of wave information from videos will be affected by the interference of the fine ripples on the sea surface. To solve this problem, this study develops a method for estimating peak wave periods from videos captured at low grazing angles. The method extracts the motion of the sea surface texture from the video and obtains the peak wave period via the spectral analysis. The calculation results captured from real-world videos are compared with those obtained from X-band radar inversion and tracking buoy movement, with maximum deviations of 8% and 14%, respectively. The analysis of the results shows that the peak wave period of the method has good stability. In addition, this paper uses a pinhole camera model to convert the displacement of the texture from pixel height to actual height and performs moving average filtering on the displacement of the texture, thus conducting a preliminary exploration of the inversion of significant wave height. This study helps to extend the application of sea surface videos.
- low grazing angle,
- sea surface texture,
- video,
- peak wave period,
- significant wave height,
- image matching

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References(49)

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