Long-term automated monitoring of nearshore wave height from digital video

Gal, Yaniv, Browne, Matthew and Lane, Christopher (2013) Long-term automated monitoring of nearshore wave height from digital video. IEEE Transactions on Geoscience and Remote Sensing, 52 6: 3412-3420. doi:10.1109/TGRS.2013.2272790

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Author Gal, Yaniv
Browne, Matthew
Lane, Christopher
Title Long-term automated monitoring of nearshore wave height from digital video
Journal name IEEE Transactions on Geoscience and Remote Sensing   Check publisher's open access policy
ISSN 0196-2892
1558-0644
Publication date 2013-08-02
Year available 2013
Sub-type Article (original research)
DOI 10.1109/TGRS.2013.2272790
Volume 52
Issue 6
Start page 3412
End page 3420
Total pages 9
Place of publication Piscataway, NJ, United States
Publisher Institute of Electrical and Electronics Engineers
Collection year 2014
Language eng
Formatted abstract
This paper presents a new method for estimating nearshore wave height from a digital video sequence. The method identifies main wave breaking zones in the video records and estimates the height of breaking waves inside the detected breaking zones. A geometric rectification is applied to the resulting estimation to convert the height measurement from image pixels to meters. The validation of the algorithm was undertaken over three months at Surfers Paradise, Australia. The performance of the algorithm was demonstrated to be comparable with that of buoy-measured wave height, as well as manual estimates of the onshore wave height by a surf reporter. The results indicate that the method can be used as a cost-effective tool for long-term monitoring of nearshore wave conditions.
Keyword Digital image processing
Digital video analysis
Wave breaking zone detection
Wave detection
Wave height
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ
Additional Notes Date of Publication : 02 August 2013

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2014 Collection
School of Information Technology and Electrical Engineering Publications
 
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Citation counts: TR Web of Science Citation Count  Cited 1 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 2 times in Scopus Article | Citations
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Created: Wed, 02 Oct 2013, 10:31:25 EST by Dr Yaniv Gal on behalf of Centre for Medical Diagnostic Technologies in Qld