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Title: Detecting the presence-absence of bluefin tuna by automated analysis of medium-range sonars on fishing vessels
Authors: Uranga, Jon; Arrizabalaga, Haritz; Boyra, Guillermo; Hernandez, Maria Carmen; Goni, Nicolas; Arregui, Igor; Fernandes, Jose A.; Santiago, Josu; Yurramendi, Yosu
Abstract: This study presents a methodology for the automated analysis of commercial medium range sonar signals for detecting presence/absence of bluefin tuna (Tunnus thynnus) in the Bay of Biscay. The approach uses image processing techniques to analyze sonar screen shots. For each sonar image we extracted measurable regions and analyzed their characteristics. Scientific data was used to classify each region into a class (��tuna�� or ``no-tuna��) and build a dataset to train and evaluate classification models by using supervised learning. The methodology performed well when validated with commercial sonar screenshots, and has the potential to automatically analyze high volumes of data at a low cost. This represents a first milestone towards the development of acoustic, fishery-independent indices of abundance for bluefin tuna in the Bay of Biscay. Future research lines and additional alternatives to inform stock assessments are also discussed.
Issue Date: 2017
Type: Article
Language: English
DOI: 10.1371/journal.pone.0171382
ISSN: 1932-6203
Funder: Basque Government [0033-2011, GV 351NPVA00062]
Appears in Publication types:Artículos científicos

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