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A scientific data mining approach to midwater multibeam echosounding for fisheries applications


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Buelens, B, Williams, R, Sale, AHJ and Pauly, T 2005 , 'A scientific data mining approach to midwater multibeam echosounding for fisheries applications', paper presented at the 1st International Conference on Underwater Acoustic Measurements: Technologies & Results, 28 June - 1 July 2005, Heraklion, Crete, Greece.

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Midwater acoustic backscatter measurements collected by multibeam sonar offer
new opportunities and challenges for fisheries applications. A scientific data mining
technique to handle midwater multibeam backscatter data is presented. Most of the earlier
research on multibeam echosounding for fisheries has focused on the core basic technologies
of multibeam transducers, the associated signal processing, and calibration. Some work has
been done with post-processed data, but no systematic methodology for post-processing of
midwater multibeam backscatter data has emerged. In this paper, the problem is placed in a
data mining framework. A model inversion technique is utilized, by applying the inverse of an
approximation to the multibeam echosounding model. The proposed approach leads to a data
product consisting of a collection of midwater soundings. A multibeam midwater sounding is
the equivalent of the standard multibeam soundings as obtained from hydrographic
multibeam instruments. These soundings can be visualized directly, allowing for exploratory
data analysis in a 3d or 4d interactive environment. A sounding is a measurement in space
and time, and has associated attributes or features, such as the backscatter value. Other
features can be tagged to the soundings, forming generalised data nodes. Advanced spatiotemporal
data mining techniques can now be applied to this set of nodes. Some further
clustering techniques are presented, clustering the soundings into groups representing
coherent objects in the water column, or, more specifically, fish schools. Global properties of
clusters can be derived from the individual feature tags of the soundings, thus allowing for
classification of schools into classes of similar types. The latest developments of this research
are presented.

Item Type: Conference or Workshop Item (Paper)
Authors/Creators:Buelens, B and Williams, R and Sale, AHJ and Pauly, T
Keywords: Fisheries acoustics, multibeam sonar
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