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Título : Detecting the presence-absence of bluefin tuna by automated analysis of medium-range sonars on fishing vessels
Autor : Uranga, Jon; Arrizabalaga, Haritz; Boyra, Guillermo; Hernandez, Maria Carmen; Goni, Nicolas; Arregui, Igor; Fernandes, Jose A.; Santiago, Josu; Yurramendi, Yosu
Resumen : 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.
Palabras clave : THUNNUS-THYNNUS; FISHERIES RESEARCH; STOCK ASSESSMENT; UNIT EFFORT; ATLANTIC; SCHOOLS; MANAGEMENT; BISCAY; BAY; CLASSIFICATION
Fecha de publicación : 2017
Editorial : PUBLIC LIBRARY SCIENCE
Tipo de documento: Article
Idioma: Inglés
DOI: 10.1371/journal.pone.0171382
URI : http://dspace.azti.es/handle/24689/488
ISSN : 1932-6203
Patrocinador: Basque Government [0033-2011, GV 351NPVA00062]
Aparece en las tipos de publicación: Artículos científicos



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