Open AccessAcoustic classification in multifrequency echosounder data using deep convolutional neural networks
Author(s) -
Olav Brautaset,
Anders U. Waldeland,
Espen Johnsen,
Ketil Malde,
Line Eikvil,
Arnt-Børre Salberg,
Nils Olav Handegard
Publication year - 2019
Publication title -
ices journal of marine science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.348
H-Index - 117
eISSN - 1095-9289
pISSN - 1054-3139
DOI - 10.1093/icesjms/fsz235
Subject(s) - computer science , convolutional neural network , preprocessor , echo sounding , range (aeronautics) , artificial intelligence , feature (linguistics) , pattern recognition (psychology) , data pre processing , artificial neural network , remote sensing , geography , composite material , materials science , philosophy , linguistics
intelligence in marine science’ Original Article Acoustic classification in multifrequency echosounder data using deep convolutional neural networks Olav Brautaset, Anders Ueland Waldeland, Espen Johnsen, Ketil Malde, Line Eikvil, Arnt-Børre Salberg, and Nils Olav Handegard * Norwegian Computing Center, P.O. Box 114 Blindern, Oslo 0314, Norway Institute of Marine Research, Nordnesgaten 50, Bergen 5005, Norway *Corresponding author: tel: þ 47 95854057; e-mail: nilsolav@hi.no.
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