Fish species identification using image analysis of echo-sounder images

Thesis (M.Eng.)--Memorial University of Newfoundland, 2003. Engineering and Applied Science Includes bibliographical references. Acoustic surveys for marine fish in coastal waters typically involve identification of species groups. Incorrect classification can limit the usefulness of both distributi...

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Bibliographic Details
Main Author: Lefeuvre, Patricia, 1967-
Other Authors: Memorial University of Newfoundland. Faculty of Engineering and Applied Science
Format: Thesis
Language:English
Published: 2002
Subjects:
Online Access:http://collections.mun.ca/cdm/ref/collection/theses3/id/87604
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spelling ftmemorialunivdc:oai:collections.mun.ca:theses3/87604 2023-05-15T15:27:38+02:00 Fish species identification using image analysis of echo-sounder images Lefeuvre, Patricia, 1967- Memorial University of Newfoundland. Faculty of Engineering and Applied Science Canada--Newfoundland and Labrador; Grand Banks of Newfoundland 2002 1 v. (various foliations) : ill., maps Image/jpeg; application/pdf http://collections.mun.ca/cdm/ref/collection/theses3/id/87604 eng eng Electronic Theses and Dissertations (15.96 MB) -- http://collections.mun.ca/PDFs/theses/Lefeuvre_Patricia.pdf a1614905 http://collections.mun.ca/cdm/ref/collection/theses3/id/87604 The author retains copyright ownership and moral rights in this thesis. Neither the thesis nor substantial extracts from it may be printed or otherwise reproduced without the author's permission. Paper copy kept in the Centre for Newfoundland Studies, Memorial University Libraries Fishing surveys--Newfoundland and Labrador Fishing surveys--Grand Banks of Newfoundland Echo sounding in fishing--Newfoundland and Labrador Echo sounding in fishing--Grand Banks of Newfoundland Text Electronic thesis or dissertation 2002 ftmemorialunivdc 2015-08-06T19:18:45Z Thesis (M.Eng.)--Memorial University of Newfoundland, 2003. Engineering and Applied Science Includes bibliographical references. Acoustic surveys for marine fish in coastal waters typically involve identification of species groups. Incorrect classification can limit the usefulness of both distribution and biomass estimates. Fishing catch data can assist in identification, but are rarely spatially comparable to acoustic data and are usually biased by gear type. This thesis describes a technique and a software toolkit, "FASIT" (Fisheries Assessment and Species Identification Toolkit), developed by the author to enable automated identification of Atlantic cod (Gadus morhus), capelin (Mallotus villosus), and redfish (Sebastes spp.) based on high resolution acoustic imaging offish aggregations. The approach has been to assess and analyze various amplitude, shape and location features of the acoustic returns from shoals and individual fish, then to use these features to develop algorithms which discriminate among species. Fourteen classifiers based on Three-Nearest Neighbour classification and Mahalanobis distance classification have been implemented and tested. The best classifier had an average correct classification rate of 96.8%. The data used for this thesis are fisheries data from a number of Newfoundland bays and the Grand Bank region collected using a 38 KHz digital echo- sounder. Thesis atlantic cod Newfoundland studies University of Newfoundland Memorial University of Newfoundland: Digital Archives Initiative (DAI) Canada Newfoundland
institution Open Polar
collection Memorial University of Newfoundland: Digital Archives Initiative (DAI)
op_collection_id ftmemorialunivdc
language English
topic Fishing surveys--Newfoundland and Labrador
Fishing surveys--Grand Banks of Newfoundland
Echo sounding in fishing--Newfoundland and Labrador
Echo sounding in fishing--Grand Banks of Newfoundland
spellingShingle Fishing surveys--Newfoundland and Labrador
Fishing surveys--Grand Banks of Newfoundland
Echo sounding in fishing--Newfoundland and Labrador
Echo sounding in fishing--Grand Banks of Newfoundland
Lefeuvre, Patricia, 1967-
Fish species identification using image analysis of echo-sounder images
topic_facet Fishing surveys--Newfoundland and Labrador
Fishing surveys--Grand Banks of Newfoundland
Echo sounding in fishing--Newfoundland and Labrador
Echo sounding in fishing--Grand Banks of Newfoundland
description Thesis (M.Eng.)--Memorial University of Newfoundland, 2003. Engineering and Applied Science Includes bibliographical references. Acoustic surveys for marine fish in coastal waters typically involve identification of species groups. Incorrect classification can limit the usefulness of both distribution and biomass estimates. Fishing catch data can assist in identification, but are rarely spatially comparable to acoustic data and are usually biased by gear type. This thesis describes a technique and a software toolkit, "FASIT" (Fisheries Assessment and Species Identification Toolkit), developed by the author to enable automated identification of Atlantic cod (Gadus morhus), capelin (Mallotus villosus), and redfish (Sebastes spp.) based on high resolution acoustic imaging offish aggregations. The approach has been to assess and analyze various amplitude, shape and location features of the acoustic returns from shoals and individual fish, then to use these features to develop algorithms which discriminate among species. Fourteen classifiers based on Three-Nearest Neighbour classification and Mahalanobis distance classification have been implemented and tested. The best classifier had an average correct classification rate of 96.8%. The data used for this thesis are fisheries data from a number of Newfoundland bays and the Grand Bank region collected using a 38 KHz digital echo- sounder.
author2 Memorial University of Newfoundland. Faculty of Engineering and Applied Science
format Thesis
author Lefeuvre, Patricia, 1967-
author_facet Lefeuvre, Patricia, 1967-
author_sort Lefeuvre, Patricia, 1967-
title Fish species identification using image analysis of echo-sounder images
title_short Fish species identification using image analysis of echo-sounder images
title_full Fish species identification using image analysis of echo-sounder images
title_fullStr Fish species identification using image analysis of echo-sounder images
title_full_unstemmed Fish species identification using image analysis of echo-sounder images
title_sort fish species identification using image analysis of echo-sounder images
publishDate 2002
url http://collections.mun.ca/cdm/ref/collection/theses3/id/87604
op_coverage Canada--Newfoundland and Labrador; Grand Banks of Newfoundland
geographic Canada
Newfoundland
geographic_facet Canada
Newfoundland
genre atlantic cod
Newfoundland studies
University of Newfoundland
genre_facet atlantic cod
Newfoundland studies
University of Newfoundland
op_source Paper copy kept in the Centre for Newfoundland Studies, Memorial University Libraries
op_relation Electronic Theses and Dissertations
(15.96 MB) -- http://collections.mun.ca/PDFs/theses/Lefeuvre_Patricia.pdf
a1614905
http://collections.mun.ca/cdm/ref/collection/theses3/id/87604
op_rights The author retains copyright ownership and moral rights in this thesis. Neither the thesis nor substantial extracts from it may be printed or otherwise reproduced without the author's permission.
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