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Identification of patterns over regional scales using self-organising maps on images from marine modelling outputs

Citation

de Souza Jr, PA and Williams, RN and Jones, EM, Identification of patterns over regional scales using self-organising maps on images from marine modelling outputs, Proceedings of the 2012 International Conference on Digital Image Computing Techniques and Applications (DICTA), 3-5 December 2012, Perth, Australia, pp. 1-6. ISBN 978-1-4673-2179-2 (2012) [Refereed Conference Paper]

Copyright Statement

Copyright 2012 IEEE

DOI: doi:10.1109/DICTA.2012.6411677

Abstract

The Self-Organizing Feature Map (or SOM) has been used to analyse a dataset consisting of oceanographic modelling output images, in order to identify patterns in the hydrodynamic behaviour of the south-east Tasmanian (SETas) coastal region over a 360-day period between August 2009 and August 2010. The SOM provided a visualization of the dataset, distributed across a 5x7 two-dimensional grid, which enabled an oceanographer to identify significant hydrodynamic patterns being exhibited by the SETas region over that period. Four prototype (typical) states were identified by the oceanographer, who then interpreted each of these states in terms of the major ocean currents which impact on the region; the East Australian Current and the Zeehan Current. These results indicate that SOM analysis can be a useful technique for identifying patterns in large oceanographic datasets, such as those now being provided by remote sensing, ocean modelling and marine sensor network technologies.

Item Details

Item Type:Refereed Conference Paper
Keywords:self-organizing maps, ocean modelling, pattern recognition, model output images
Research Division:Information and Computing Sciences
Research Group:Artificial Intelligence and Image Processing
Research Field:Pattern Recognition and Data Mining
Objective Division:Environment
Objective Group:Other Environment
Objective Field:Marine Oceanic Processes (excl. climate related)
Author:de Souza Jr, PA (Professor Paulo de Souza Junior)
Author:Williams, RN (Dr Ray Williams)
ID Code:82202
Year Published:2012
Deposited By:Computing and Information Systems
Deposited On:2013-01-21
Last Modified:2017-11-06
Downloads:0

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