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Remote Sensing of Wave Trajectory in Surf Zone using Oblique Digital Videos  

Yoo, Je-Seon (Department of Civil Engineering, Hanyang University)
Shin, Dong-Min (Department of Civil Engineering, Hanyang University)
Cho, Yong-Sik (Department of Civil Engineering, Hanyang University)
Publication Information
Journal of Korean Society of Coastal and Ocean Engineers / v.20, no.4, 2008 , pp. 333-341 More about this Journal
Abstract
A remote sensing technique to identify trajectories of breaking waves in the surf zone using oblique digital nearshore videos is proposed. The noise arising from white foam induced by wave breaking has hindered accurate remote sensing of wave properties in the surf zone. For this reason, this paper focuses on image processing to remove the noise and wave trajectory identification essential for wave property estimation. The nearshore video imagery sampled at 3 Hz are used, covering length scale(100 m). Original image sequences are processed through image frame differencing and directional low-pass image filtering to remove the noise characterized by high frequencies in the video imagery. The extraction of individual wave crest features is conducted using a Radon transform-based line detection algorithm in the processed cross-shore image timestacks having a two-dimensional space-time domain. The number of valid wave crest trajectories identified corresponds to about 2/3 of waves recorded by the in-situ sensors.
Keywords
digital video imagery; image processing; surf zone; wave trajectory; wave crest; remote sensing;
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