Imperial College London
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DrAdrianCallaghan

Faculty of Engineering, Department of Civil and Environmental Engineering

Senior Lecturer (Royal Society Shooter International Fellow)
 
 
 
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Contact

 

+44 (0)20 7594 6644a.callaghan Website

 
 
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Assistant

 

Miss Rebecca Naessens +44 (0)20 7594 5990

 
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Location

 

Skempton BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Callaghan:2009:10.1175/2008jtecho634.1,
author = {Callaghan, AH and White, M},
doi = {10.1175/2008jtecho634.1},
journal = {Journal of Atmospheric and Oceanic Technology},
pages = {383--394},
title = {Automated Processing of Sea Surface Images for the Determination of Whitecap Coverage},
url = {http://dx.doi.org/10.1175/2008jtecho634.1},
volume = {26},
year = {2009}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - <jats:title>Abstract</jats:title>               <jats:p>Sea surface images have been collected to determine the percentage whitecap coverage (W) since the late 1960s. Image processing methods have changed dramatically since the beginning of whitecap studies. An automated whitecap extraction (AWE) technique has been developed at the National University of Ireland, Galway, that allows images to be analyzed for percentage whitecap coverage without the need of a human analyst. AWE analyzes digital images and determines a suitable threshold with which whitecaps can be separated from unbroken background water. By determining a threshold for each individual image, AWE is suitable for images obtained in conditions of changing ambient illumination. AWE is also suitable to process images that have been taken from both stable and nonstable platforms (such as towers and research vessels, respectively). Using techniques based on derivative analysis, AWE provides an objective method to determine an appropriate threshold for the identification of whitecaps in sea surface images without the need for a human analyst. The automated method allows large numbers of images to be analyzed in a relatively short amount of time. AWE can be used to analyze hundreds of images per individual W data point, which produces more convergent values of W.</jats:p>
AU  - Callaghan,AH
AU  - White,M
DO  - 10.1175/2008jtecho634.1
EP  - 394
PY  - 2009///
SN  - 0739-0572
SP  - 383
TI  - Automated Processing of Sea Surface Images for the Determination of Whitecap Coverage
T2  - Journal of Atmospheric and Oceanic Technology
UR  - http://dx.doi.org/10.1175/2008jtecho634.1
VL  - 26
ER  -
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