Detection of Visual Signatures of Marine Mammals and Fish within Marine Renewable Energy Farms Using Multibeam Imaging Sonar

Techniques for marine monitoring have evolved greatly over the past decades, making the acquisition of environment data safer, reliable and more efficient. On the other hand, the exploration of marine renewable energy introduced dissimilar ways of exploring the oceans and with that arises the need f...

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Published in:Journal of Marine Science and Engineering
Main Authors: Francisco, Francisco, Sundberg, Jan
Format: Article in Journal/Newspaper
Language:English
Published: Uppsala universitet, Elektricitetslära 2019
Subjects:
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-368876
https://doi.org/10.3390/jmse7020022
id ftuppsalauniv:oai:DiVA.org:uu-368876
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spelling ftuppsalauniv:oai:DiVA.org:uu-368876 2023-09-26T15:21:50+02:00 Detection of Visual Signatures of Marine Mammals and Fish within Marine Renewable Energy Farms Using Multibeam Imaging Sonar Francisco, Francisco Sundberg, Jan 2019 application/pdf http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-368876 https://doi.org/10.3390/jmse7020022 eng eng Uppsala universitet, Elektricitetslära Nutrients, 2019, 7:2, info:eu-repo/grantAgreement/EC/FP7/607656 orcid:0000-0002-5205-0961 http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-368876 doi:10.3390/jmse7020022 ISI:000460894600003 info:eu-repo/semantics/openAccess Multibeam imaging sonar visual signature marine mammal seal fish marine renewable energy Other Electrical Engineering Electronic Engineering Information Engineering Annan elektroteknik och elektronik Article in journal info:eu-repo/semantics/article text 2019 ftuppsalauniv https://doi.org/10.3390/jmse7020022 2023-08-30T22:32:20Z Techniques for marine monitoring have evolved greatly over the past decades, making the acquisition of environment data safer, reliable and more efficient. On the other hand, the exploration of marine renewable energy introduced dissimilar ways of exploring the oceans and with that arises the need for new techniques for environmental data acquisition, processing and analysis. Marine energy is mostly harvested in murky and high energetic places where conventional data acquisition techniques are impractical. Modern sonar systems, operating at high frequencies, can acquire detailed images of the underwater environment. Variables such as occurrence, size, class and behaviour of a variety of aquatic species of fish, birds, mammals, coexisting within marine energy sites can be gathered using imaging sonar systems. Although sonar images can provide high level of details, still in most of the cases they are difficult to decipher. Therefore, to facilitate the classification of targets through sonar images, this study introduces a framework of extracting visual features of marine targets that would serve as unique signatures. The acoustic measure of visibility (AVM) is here introduced as an indirect technique of identification and classification of targets by comparing the observed size with a standard value. This information can be used to instruct manual and automatic algorithms for identification and classification of underwater targets using imaging sonar systems. Using image processing algorithms embedded in Proviwer4 and FIJI software, this study found that acoustic images can be effectively used to classify cod, harbour and grey seals, and orcas through their size, shape and swimming behaviour. Data showed that cod occurred as bright, 0.9 m long, ellipsoidal targets shoaling in groups of up to 50 individuals. Harbour seals occurred as bright torpedo-like fast moving target, whereas grey seals occurred as bulky-ellipsoidal targets with serpentine movement. Orca or larger marine mammals occurred with relatively low ... Article in Journal/Newspaper Orca Uppsala University: Publications (DiVA) Journal of Marine Science and Engineering 7 2 22
institution Open Polar
collection Uppsala University: Publications (DiVA)
op_collection_id ftuppsalauniv
language English
topic Multibeam imaging sonar
visual signature
marine mammal
seal
fish
marine renewable energy
Other Electrical Engineering
Electronic Engineering
Information Engineering
Annan elektroteknik och elektronik
spellingShingle Multibeam imaging sonar
visual signature
marine mammal
seal
fish
marine renewable energy
Other Electrical Engineering
Electronic Engineering
Information Engineering
Annan elektroteknik och elektronik
Francisco, Francisco
Sundberg, Jan
Detection of Visual Signatures of Marine Mammals and Fish within Marine Renewable Energy Farms Using Multibeam Imaging Sonar
topic_facet Multibeam imaging sonar
visual signature
marine mammal
seal
fish
marine renewable energy
Other Electrical Engineering
Electronic Engineering
Information Engineering
Annan elektroteknik och elektronik
description Techniques for marine monitoring have evolved greatly over the past decades, making the acquisition of environment data safer, reliable and more efficient. On the other hand, the exploration of marine renewable energy introduced dissimilar ways of exploring the oceans and with that arises the need for new techniques for environmental data acquisition, processing and analysis. Marine energy is mostly harvested in murky and high energetic places where conventional data acquisition techniques are impractical. Modern sonar systems, operating at high frequencies, can acquire detailed images of the underwater environment. Variables such as occurrence, size, class and behaviour of a variety of aquatic species of fish, birds, mammals, coexisting within marine energy sites can be gathered using imaging sonar systems. Although sonar images can provide high level of details, still in most of the cases they are difficult to decipher. Therefore, to facilitate the classification of targets through sonar images, this study introduces a framework of extracting visual features of marine targets that would serve as unique signatures. The acoustic measure of visibility (AVM) is here introduced as an indirect technique of identification and classification of targets by comparing the observed size with a standard value. This information can be used to instruct manual and automatic algorithms for identification and classification of underwater targets using imaging sonar systems. Using image processing algorithms embedded in Proviwer4 and FIJI software, this study found that acoustic images can be effectively used to classify cod, harbour and grey seals, and orcas through their size, shape and swimming behaviour. Data showed that cod occurred as bright, 0.9 m long, ellipsoidal targets shoaling in groups of up to 50 individuals. Harbour seals occurred as bright torpedo-like fast moving target, whereas grey seals occurred as bulky-ellipsoidal targets with serpentine movement. Orca or larger marine mammals occurred with relatively low ...
format Article in Journal/Newspaper
author Francisco, Francisco
Sundberg, Jan
author_facet Francisco, Francisco
Sundberg, Jan
author_sort Francisco, Francisco
title Detection of Visual Signatures of Marine Mammals and Fish within Marine Renewable Energy Farms Using Multibeam Imaging Sonar
title_short Detection of Visual Signatures of Marine Mammals and Fish within Marine Renewable Energy Farms Using Multibeam Imaging Sonar
title_full Detection of Visual Signatures of Marine Mammals and Fish within Marine Renewable Energy Farms Using Multibeam Imaging Sonar
title_fullStr Detection of Visual Signatures of Marine Mammals and Fish within Marine Renewable Energy Farms Using Multibeam Imaging Sonar
title_full_unstemmed Detection of Visual Signatures of Marine Mammals and Fish within Marine Renewable Energy Farms Using Multibeam Imaging Sonar
title_sort detection of visual signatures of marine mammals and fish within marine renewable energy farms using multibeam imaging sonar
publisher Uppsala universitet, Elektricitetslära
publishDate 2019
url http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-368876
https://doi.org/10.3390/jmse7020022
genre Orca
genre_facet Orca
op_relation Nutrients, 2019, 7:2,
info:eu-repo/grantAgreement/EC/FP7/607656
orcid:0000-0002-5205-0961
http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-368876
doi:10.3390/jmse7020022
ISI:000460894600003
op_rights info:eu-repo/semantics/openAccess
op_doi https://doi.org/10.3390/jmse7020022
container_title Journal of Marine Science and Engineering
container_volume 7
container_issue 2
container_start_page 22
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