Repository logo
 
Publication

Automatic acoustic target detection and classification off the Coast of Portugal

2020Conference object Restricted access
Simple item page
dc.contributor.authorSabara, Razi
dc.contributor.authorSoares, Cristiano
dc.contributor.authorZabel, Friedrich
dc.contributor.authorValente de Oliveira, José
dc.contributor.authorJesus, Sergio
dc.date.accessioned2021-09-22T08:25:27Z
dc.date.available2021-09-22T08:25:27Z
dc.date.issued2020
dc.description.abstractOcean noise has been a topic of research for many years, for its impact in sonar detection, underwater communications and ocean acoustic observation in general. Recently, ocean sound has been designated as an Essential Ocean Variable (EOV) and is therefore, becoming increasingly recorded and monitored, along with other oceanic and meteorological variables. The research projects EMSO-PT and SUBECO aim at deploying ocean observatories along the coast of Portugal for long term ocean variables monitoring, among which ocean sound. Unlike other ocean variables, ocean sound allows for feature detection, characterisation and possibly identification with known patterns. This work shows the results obtained with current machine learning algorithms for feature detection and extraction on a two days recording of ocean noise obtained on a offshore buoy deployed under the SUBECO project, on the west coast of Portugal. Preliminary results show the possibility of improved event detection, followed by classification and clustering, that foresee a rapid and accurate analysis of large observatory acquired acoustic data sets.pt_PT
dc.description.sponsorshipFCT: 022157; Projects SUBECO and EMSO-PTpt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1109/IEEECONF38699.2020.9389067pt_PT
dc.identifier.issn0197-7385
dc.identifier.urihttp://hdl.handle.net/10400.1/17139
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherIEEEpt_PT
dc.subjectOocean soundpt_PT
dc.subjectMSFDpt_PT
dc.subjectMachine learningpt_PT
dc.subjectAcoustic detectionpt_PT
dc.titleAutomatic acoustic target detection and classification off the Coast of Portugalpt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.endPage9pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.titleGlobal OCEANS Singapore - U.S. Gulf Coast Conferencept_PT
person.familyNameSOARES
person.familyNameZabel
person.familyNameLUÍS VALENTE DE OLIVEIRA
person.familyNameJesus
person.givenNameCRISTIANO
person.givenNameFriedrich
person.givenNameJOSÉ
person.givenNameSergio
person.identifier.ciencia-id1F12-C1D3-7717
person.identifier.orcid0000-0002-2789-8506
person.identifier.orcid0000-0002-3477-2813
person.identifier.orcid0000-0001-5337-5699
person.identifier.orcid0000-0002-6021-1761
person.identifier.scopus-author-id7003729485
rcaap.rightsrestrictedAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication21359474-b0e6-4d62-a0b1-fa87a750b1ca
relation.isAuthorOfPublication534d6500-1559-43d0-a9ae-ff0ac6ee888f
relation.isAuthorOfPublicationbb726e73-690c-4a33-822e-c47bdac3035b
relation.isAuthorOfPublicatione0226ece-3767-4beb-ab80-868e8897c14a
relation.isAuthorOfPublication.latestForDiscoverybb726e73-690c-4a33-822e-c47bdac3035b

Files

Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
rsabara1.20 (002).pdf
Size:
2.11 MB
Format:
Adobe Portable Document Format
Download

Collections

FCT2-Artigos (em revistas ou actas indexadas)