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The automated detection and recognition of internal waves

Record type: Article

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.

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Citation

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), pp. 4581-4598. (doi:10.1080/01431160802621218).

More information

Published date: 20 May 2009
Additional Information: Deposited by Jane Conquer.
Organisations: Ocean and Earth Science, Engineering Sciences

Identifiers

Local EPrints ID: 69086
URI: http://eprints.soton.ac.uk/id/eprint/69086
ISSN: 0143-1161
PURE UUID: ff79ffa6-e9bd-4c3c-ae7f-b5a0e04f5c9d

Catalogue record

Date deposited: 19 Oct 2009
Last modified: 19 Jul 2017 00:14

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