Can acoustic shadows identify fish species? A novel application of imaging sonar data

This study addresses a fish species discrimination method based on normalised elliptic Fourier descriptors applied to acoustic shadows derived by Dual‐frequency Identification Sonar (DIDSON). Acoustic shadows of templates (20, 30, 40 and 50 cm) and live fish of four species [bream, Abramis brama (L....

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Fisheries management and ecology 2012-08, Vol.19 (4), p.313-322
Hauptverfasser: LANGKAU, M. C., BALK, H., SCHMIDT, M. B., BORCHERDING, J.
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 322
container_issue 4
container_start_page 313
container_title Fisheries management and ecology
container_volume 19
creator LANGKAU, M. C.
BALK, H.
SCHMIDT, M. B.
BORCHERDING, J.
description This study addresses a fish species discrimination method based on normalised elliptic Fourier descriptors applied to acoustic shadows derived by Dual‐frequency Identification Sonar (DIDSON). Acoustic shadows of templates (20, 30, 40 and 50 cm) and live fish of four species [bream, Abramis brama (L.); barbel, Barbus barbus (L.); chub, Leuciscus cephalus (L.); and trout, Salmo trutta (L.)] were projected on a plate in an experimental set‐up and tested on suitability for species discrimination. Twenty‐centimetre templates were correctly classified in 97.5% of the cases, indicating a size threshold. The larger templates reached values of 100% correct classification based on cross‐validated discriminant function analysis. It was also possible to classify moving fish based on screenshots of their acoustic shadows with a certainty of 83.9%. Extended field tests are required to evaluate the method for use in practical monitoring applications in multispecies river environments.
doi_str_mv 10.1111/j.1365-2400.2011.00843.x
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1028034739</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1028034739</sourcerecordid><originalsourceid>FETCH-LOGICAL-c3833-f5aeaf81d7d19c58234b7f0e4d7686400e3e7f36d86ff1c6276e4619142ec8df3</originalsourceid><addsrcrecordid>eNqNkMtKAzEUhoMoWKvvkKWbGXOZyQUEkaJV8LJQ0V2ImZM2dZwZJ1Nt397UimuzSSD_d_jPhxCmJKfpnCxyykWZsYKQnBFKc0JUwfPVDhr9feyiEdFCZ1rLl310EOOCECKo1iP0NLENtq5dxiE4HOe2ar8iDhU0Q_Br7EOc49iBCxDP8Dlu2k-ose26Ojg7hLbBrcfh3c5CM8OxbWyPKzvYQ7TnbR3h6Pceo6fLi8fJVXZzP72enN9kjivOM19asF7RSlZUu1IxXrxKT6CopFAiFQcO0nNRKeE9dYJJAUXqTQsGTlWej9Hxdm7Xtx9LiIN5D9FBXdsG0kqGEqYILyTXKaq2Ude3MfbgTden4v06hczGpFmYjTCzEWY2Js2PSbNK6OkW_Qo1rP_Nmcvbi_RIeLbFQxxg9Yfb_s0IyWVpnu-mpmTs4YUzbSb8G2heiE8</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1028034739</pqid></control><display><type>article</type><title>Can acoustic shadows identify fish species? A novel application of imaging sonar data</title><source>Wiley Online Library All Journals</source><creator>LANGKAU, M. C. ; BALK, H. ; SCHMIDT, M. B. ; BORCHERDING, J.</creator><creatorcontrib>LANGKAU, M. C. ; BALK, H. ; SCHMIDT, M. B. ; BORCHERDING, J.</creatorcontrib><description>This study addresses a fish species discrimination method based on normalised elliptic Fourier descriptors applied to acoustic shadows derived by Dual‐frequency Identification Sonar (DIDSON). Acoustic shadows of templates (20, 30, 40 and 50 cm) and live fish of four species [bream, Abramis brama (L.); barbel, Barbus barbus (L.); chub, Leuciscus cephalus (L.); and trout, Salmo trutta (L.)] were projected on a plate in an experimental set‐up and tested on suitability for species discrimination. Twenty‐centimetre templates were correctly classified in 97.5% of the cases, indicating a size threshold. The larger templates reached values of 100% correct classification based on cross‐validated discriminant function analysis. It was also possible to classify moving fish based on screenshots of their acoustic shadows with a certainty of 83.9%. Extended field tests are required to evaluate the method for use in practical monitoring applications in multispecies river environments.</description><identifier>ISSN: 0969-997X</identifier><identifier>EISSN: 1365-2400</identifier><identifier>DOI: 10.1111/j.1365-2400.2011.00843.x</identifier><language>eng</language><publisher>Oxford, UK: Blackwell Publishing Ltd</publisher><subject>Abramis brama ; acoustic shadows ; Barbus barbus ; DIDSON ; discriminant function analysis ; fish species discrimination ; fourier analysis ; hydroacoustics ; Leuciscus cephalus ; Salmo trutta</subject><ispartof>Fisheries management and ecology, 2012-08, Vol.19 (4), p.313-322</ispartof><rights>2012 Blackwell Publishing Ltd</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3833-f5aeaf81d7d19c58234b7f0e4d7686400e3e7f36d86ff1c6276e4619142ec8df3</citedby><cites>FETCH-LOGICAL-c3833-f5aeaf81d7d19c58234b7f0e4d7686400e3e7f36d86ff1c6276e4619142ec8df3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Fj.1365-2400.2011.00843.x$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fj.1365-2400.2011.00843.x$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1417,27923,27924,45573,45574</link.rule.ids></links><search><creatorcontrib>LANGKAU, M. C.</creatorcontrib><creatorcontrib>BALK, H.</creatorcontrib><creatorcontrib>SCHMIDT, M. B.</creatorcontrib><creatorcontrib>BORCHERDING, J.</creatorcontrib><title>Can acoustic shadows identify fish species? A novel application of imaging sonar data</title><title>Fisheries management and ecology</title><description>This study addresses a fish species discrimination method based on normalised elliptic Fourier descriptors applied to acoustic shadows derived by Dual‐frequency Identification Sonar (DIDSON). Acoustic shadows of templates (20, 30, 40 and 50 cm) and live fish of four species [bream, Abramis brama (L.); barbel, Barbus barbus (L.); chub, Leuciscus cephalus (L.); and trout, Salmo trutta (L.)] were projected on a plate in an experimental set‐up and tested on suitability for species discrimination. Twenty‐centimetre templates were correctly classified in 97.5% of the cases, indicating a size threshold. The larger templates reached values of 100% correct classification based on cross‐validated discriminant function analysis. It was also possible to classify moving fish based on screenshots of their acoustic shadows with a certainty of 83.9%. Extended field tests are required to evaluate the method for use in practical monitoring applications in multispecies river environments.</description><subject>Abramis brama</subject><subject>acoustic shadows</subject><subject>Barbus barbus</subject><subject>DIDSON</subject><subject>discriminant function analysis</subject><subject>fish species discrimination</subject><subject>fourier analysis</subject><subject>hydroacoustics</subject><subject>Leuciscus cephalus</subject><subject>Salmo trutta</subject><issn>0969-997X</issn><issn>1365-2400</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><recordid>eNqNkMtKAzEUhoMoWKvvkKWbGXOZyQUEkaJV8LJQ0V2ImZM2dZwZJ1Nt397UimuzSSD_d_jPhxCmJKfpnCxyykWZsYKQnBFKc0JUwfPVDhr9feyiEdFCZ1rLl310EOOCECKo1iP0NLENtq5dxiE4HOe2ar8iDhU0Q_Br7EOc49iBCxDP8Dlu2k-ose26Ojg7hLbBrcfh3c5CM8OxbWyPKzvYQ7TnbR3h6Pceo6fLi8fJVXZzP72enN9kjivOM19asF7RSlZUu1IxXrxKT6CopFAiFQcO0nNRKeE9dYJJAUXqTQsGTlWej9Hxdm7Xtx9LiIN5D9FBXdsG0kqGEqYILyTXKaq2Ude3MfbgTden4v06hczGpFmYjTCzEWY2Js2PSbNK6OkW_Qo1rP_Nmcvbi_RIeLbFQxxg9Yfb_s0IyWVpnu-mpmTs4YUzbSb8G2heiE8</recordid><startdate>201208</startdate><enddate>201208</enddate><creator>LANGKAU, M. C.</creator><creator>BALK, H.</creator><creator>SCHMIDT, M. B.</creator><creator>BORCHERDING, J.</creator><general>Blackwell Publishing Ltd</general><scope>BSCLL</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SN</scope><scope>7ST</scope><scope>7TN</scope><scope>7U6</scope><scope>7UA</scope><scope>8FD</scope><scope>C1K</scope><scope>F1W</scope><scope>FR3</scope><scope>H95</scope><scope>H99</scope><scope>L.F</scope><scope>L.G</scope><scope>P64</scope><scope>SOI</scope></search><sort><creationdate>201208</creationdate><title>Can acoustic shadows identify fish species? A novel application of imaging sonar data</title><author>LANGKAU, M. C. ; BALK, H. ; SCHMIDT, M. B. ; BORCHERDING, J.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3833-f5aeaf81d7d19c58234b7f0e4d7686400e3e7f36d86ff1c6276e4619142ec8df3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Abramis brama</topic><topic>acoustic shadows</topic><topic>Barbus barbus</topic><topic>DIDSON</topic><topic>discriminant function analysis</topic><topic>fish species discrimination</topic><topic>fourier analysis</topic><topic>hydroacoustics</topic><topic>Leuciscus cephalus</topic><topic>Salmo trutta</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>LANGKAU, M. C.</creatorcontrib><creatorcontrib>BALK, H.</creatorcontrib><creatorcontrib>SCHMIDT, M. B.</creatorcontrib><creatorcontrib>BORCHERDING, J.</creatorcontrib><collection>Istex</collection><collection>CrossRef</collection><collection>Ecology Abstracts</collection><collection>Environment Abstracts</collection><collection>Oceanic Abstracts</collection><collection>Sustainability Science Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Engineering Research Database</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) 1: Biological Sciences &amp; Living Resources</collection><collection>ASFA: Marine Biotechnology Abstracts</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) Marine Biotechnology Abstracts</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) Professional</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environment Abstracts</collection><jtitle>Fisheries management and ecology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>LANGKAU, M. C.</au><au>BALK, H.</au><au>SCHMIDT, M. B.</au><au>BORCHERDING, J.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Can acoustic shadows identify fish species? A novel application of imaging sonar data</atitle><jtitle>Fisheries management and ecology</jtitle><date>2012-08</date><risdate>2012</risdate><volume>19</volume><issue>4</issue><spage>313</spage><epage>322</epage><pages>313-322</pages><issn>0969-997X</issn><eissn>1365-2400</eissn><abstract>This study addresses a fish species discrimination method based on normalised elliptic Fourier descriptors applied to acoustic shadows derived by Dual‐frequency Identification Sonar (DIDSON). Acoustic shadows of templates (20, 30, 40 and 50 cm) and live fish of four species [bream, Abramis brama (L.); barbel, Barbus barbus (L.); chub, Leuciscus cephalus (L.); and trout, Salmo trutta (L.)] were projected on a plate in an experimental set‐up and tested on suitability for species discrimination. Twenty‐centimetre templates were correctly classified in 97.5% of the cases, indicating a size threshold. The larger templates reached values of 100% correct classification based on cross‐validated discriminant function analysis. It was also possible to classify moving fish based on screenshots of their acoustic shadows with a certainty of 83.9%. Extended field tests are required to evaluate the method for use in practical monitoring applications in multispecies river environments.</abstract><cop>Oxford, UK</cop><pub>Blackwell Publishing Ltd</pub><doi>10.1111/j.1365-2400.2011.00843.x</doi><tpages>10</tpages></addata></record>
fulltext fulltext
identifier ISSN: 0969-997X
ispartof Fisheries management and ecology, 2012-08, Vol.19 (4), p.313-322
issn 0969-997X
1365-2400
language eng
recordid cdi_proquest_miscellaneous_1028034739
source Wiley Online Library All Journals
subjects Abramis brama
acoustic shadows
Barbus barbus
DIDSON
discriminant function analysis
fish species discrimination
fourier analysis
hydroacoustics
Leuciscus cephalus
Salmo trutta
title Can acoustic shadows identify fish species? A novel application of imaging sonar data
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-09T10%3A13%3A44IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Can%20acoustic%20shadows%20identify%20fish%20species?%20A%20novel%20application%20of%20imaging%20sonar%20data&rft.jtitle=Fisheries%20management%20and%20ecology&rft.au=LANGKAU,%20M.%20C.&rft.date=2012-08&rft.volume=19&rft.issue=4&rft.spage=313&rft.epage=322&rft.pages=313-322&rft.issn=0969-997X&rft.eissn=1365-2400&rft_id=info:doi/10.1111/j.1365-2400.2011.00843.x&rft_dat=%3Cproquest_cross%3E1028034739%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1028034739&rft_id=info:pmid/&rfr_iscdi=true