University Of Tasmania
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A framework for scientific data mining in hydro-acoustic data sets.

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conference contribution
posted on 2023-05-26, 07:41 authored by Buelens, B, Williams, R, Sale, AHJ, Pauly, T
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.




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  • Published

Event title

Second International Conference on Artificial Intelligence in Science and Technology (AISAT)

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Hobart, Tasmania, Australia

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  • Open

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