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Extraction of ocean wave parameters from video images
In this study, we proposed a method for estimating windsea parameters from the images captured by the surveillance camera installed in coastal areas for practical use. Camera images were acquired in the observation room of the Tokyo Bay Marine Traffic Center at Cape Kannon in Tokyo Bay, Japan for approximately 4 months. Video images of the sea surface were analyzed using in-situ wave observations and wave model data. The brightness spectrum in the frequency domain and the brightness period were defined and introduced from the time series of brightness values in the obtained video images. The novelty of this study lies in the method proposed for estimating the wave parameters using the brightness period. Although this is a simple method, we confirmed that the wave parameters for windsea, such as the significant wave height and significant wave period, can be estimated with high accuracy using the brightness period. Furthermore, we confirmed that the brightness spectrum obtained from camera images and the slope spectrum of wind waves exhibited extremely similar shapes.
Extraction of ocean wave parameters from video images
In this study, we proposed a method for estimating windsea parameters from the images captured by the surveillance camera installed in coastal areas for practical use. Camera images were acquired in the observation room of the Tokyo Bay Marine Traffic Center at Cape Kannon in Tokyo Bay, Japan for approximately 4 months. Video images of the sea surface were analyzed using in-situ wave observations and wave model data. The brightness spectrum in the frequency domain and the brightness period were defined and introduced from the time series of brightness values in the obtained video images. The novelty of this study lies in the method proposed for estimating the wave parameters using the brightness period. Although this is a simple method, we confirmed that the wave parameters for windsea, such as the significant wave height and significant wave period, can be estimated with high accuracy using the brightness period. Furthermore, we confirmed that the brightness spectrum obtained from camera images and the slope spectrum of wind waves exhibited extremely similar shapes.
Extraction of ocean wave parameters from video images
Tamura, Hitoshi (author) / Hosokawa, Shinya (author) / Fujita, Isamu (author) / Okura, Shota (author) / Homma, Shota (author) / Kawaguchi, Koji (author) / Uchiyama, Ryoji (author) / Yagi, Hiroshi (author)
Coastal Engineering Journal ; 66 ; 153-167
2024-01-02
15 pages
Article (Journal)
Electronic Resource
English
Oceans - A Wavelet-Based Algorithm to Estimate Ocean Wave Group Parameters From Radar Images
| Online Contents | 2005
| British Library Conference Proceedings | 2007