The automated detection and recognition of internal waves
Simonin, D., Tatnall, A.R. and Robinson, I.S. (2009) The automated detection and recognition of internal waves. International Journal of Remote Sensing, 30, (17), 4581-4598. (doi:10.1080/01431160802621218).
Full text not available from this repository.
A new framework is presented for an automated approach to identify possible internal wave packets in synthetic aperture radar (SAR) images as a means to infer primary information about the internal waves. An operational version of this framework is expected to be useful to both oceanographers and modellers for analysing the importance of internal waves for the mixing required to warm and advect deep-sea water to the surface. The framework is based on a combination of techniques using wavelets, edge discrimination, edge linking and edge parallelism analysis. Six satellite images of the Eastern Atlantic have been used to demonstrate and test the framework. The determination of the type of signature and the wavelength of the internal wave has been demonstrated and the accuracy of the approach is assessed.
|Digital Object Identifier (DOI):||doi:10.1080/01431160802621218|
|Additional Information:||Deposited by Jane Conquer.|
|Subjects:||Q Science > Q Science (General)
G Geography. Anthropology. Recreation > GA Mathematical geography. Cartography
G Geography. Anthropology. Recreation > GC Oceanography
|Divisions:||University Structure - Pre August 2011 > School of Engineering Sciences
University Structure - Pre August 2011 > School of Ocean & Earth Science (SOC/SOES)
|Date Deposited:||19 Oct 2009|
|Last Modified:||06 Aug 2015 02:54|
|RDF:||RDF+N-Triples, RDF+N3, RDF+XML, Browse.|
Actions (login required)