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A framework for scientific data mining in hydro-acoustic data sets.
Buelens, B and Williams, R and Sale, AHJ and Pauly, T (2004) A framework for scientific data mining in hydro-acoustic data sets. In: Second International Conference on Artificial Intelligence in Science and Technology (AISAT), 21-25 November, 2004, Hobart, Tasmania, Australia.
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Available under University of Tasmania Standard License.
A data mining framework for handling large volumes of scientific hydro-acoustic measurements is proposed. The method is applicable to data collected by the new generation of multibeam echosounders, capable of logging acoustic data for the full watercolumn. S; such instruments will be used for fisheries applications in the near future. The data mining technique is based on an inverse modeling of the underlying physics and electronics of a generic multibeam sonar system. A set of tagged soundings is obtained, which serves as a base for further advanced analysis techniques. It is anticipated that the proposed framework will serve as a research tool for the scientific fisheries research community.
|Item Type:||Conference or Workshop Item (Paper)|
|Keywords:||Scientific Data Mining, Multi-beam Sonar, Hydro-Acoustic Data Analysis, Fisheries Research.|
|Page Range:||pp. 104-108|
|Date Deposited:||12 Dec 2004|
|Last Modified:||18 Nov 2014 03:10|
|Item Statistics:||View statistics for this item|
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