2018
DOI: 10.1051/alr/2017048
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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 scientific platforms, where only one transducer is available. Instead, … Show more

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Cited by 4 publications
(2 citation statements)
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“…Echo Classification Because volume backscatter strength (S v ) varies with scatterer type (e.g., size, shape, and material properties) and number per unit volume, its dependence on acoustic wavelength or frequency is typically exploited to classify echoes. However, several methods have been used to threshold single-frequency S v from fish versus plankton (e.g., López-Serrano et al, 2018). Our empirical -61 dB threshold at 120 kHz is very close to that used in a study of small pelagic fish (-60.7 dB;Gregg and Horne, 2009).…”
Section: Environmentsupporting
confidence: 65%
“…Echo Classification Because volume backscatter strength (S v ) varies with scatterer type (e.g., size, shape, and material properties) and number per unit volume, its dependence on acoustic wavelength or frequency is typically exploited to classify echoes. However, several methods have been used to threshold single-frequency S v from fish versus plankton (e.g., López-Serrano et al, 2018). Our empirical -61 dB threshold at 120 kHz is very close to that used in a study of small pelagic fish (-60.7 dB;Gregg and Horne, 2009).…”
Section: Environmentsupporting
confidence: 65%
“…Particularly, to estimate the mixture of distributions, we used the mixsmsn package, developed by Prates et al [28]. The mixsmsn package considers the Expectation-Maximization algorithm [29] for FMST modal decomposition. For the vBGF estimates and initial values, the nls and FSA packages were used, respectively.…”
Section: Computational Aspectsmentioning
confidence: 99%