Al-Lashi, RS;
Webster, M;
Gunn, SR;
Czerski, H;
(2018)
Toward omnidirectional and automated imaging system for measuring oceanic whitecap coverage.
Journal of the Optical Society of America A
, 35
(4)
pp. 515-521.
10.1364/JOSAA.35.000515.
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Abstract
Accurate measurements of the oceanic whitecap coverage from whitecap images are required for better understanding the air–gas transfer and aerosol production processes. However, this is a challenging task because the whitecap patches are formed immediately after the wave breaks and are spread over a wide area. The main challenges in designing a whitecap-imaging instrument are the small field of view of the camera lens, processing large numbers of images, recording data over long time periods, and deployment difficulties in stormy conditions. This paper describes the design of a novel high-resolution optical instrument for imaging oceanic whitecaps and the automated algorithm processing the collected images. The instrument was successfully deployed in 2013 as part of the HiWINGS campaign in the North Atlantic Ocean. The instrument uses a fish-eye camera lens to image the whitecaps in wide angle of view (180°).
Type: | Article |
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Title: | Toward omnidirectional and automated imaging system for measuring oceanic whitecap coverage |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1364/JOSAA.35.000515 |
Publisher version: | http://dx.doi.org/10.1364/JOSAA.35.000515 |
Language: | English |
Additional information: | Published by The Optical Society under the terms of the Creative Commons Attribution 4.0 License (http://creativecommons.org/licenses/by/4.0/). Further distribution of this work must maintain attribution to the author(s) and the published article's title, journal citation, and DOI. |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Mechanical Engineering |
URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10046002 |
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