A probabilistic procedure for estimating an optimal echo-integration threshold using the Expectation-Maximisation algorithm
Abstract
To obtain reliable fish biomass estimates by acoustic methods, it is essential to filter out the signals from unwanted scatterers (e.g. zooplankton). When acoustic data are collected at more than one frequency, methods that exploit the differences in reflectivity of scatterers can be used to achieve the separation of targets. These methods cannot be applied with historical data nor recent data collected on board fishing vessels employed as...
Paper Details
Title
A probabilistic procedure for estimating an optimal echo-integration threshold using the Expectation-Maximisation algorithm
Published Date
Jan 1, 2018
Journal
Volume
31
Pages
12 - 12
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Notes
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