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Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/12294
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dc.contributor.authorGhamisi, Pedramen
dc.contributor.authorCouceiro, Micael Sen
dc.contributor.authorFerreira, Nuno M Fen
dc.contributor.authorKumar, Laliten
dc.date.accessioned2013-03-14T16:10:00Z-
dc.date.issued2012-
dc.identifier.citationProceedings of the IEEE International Geoscience and Remote Sensing Symposium (IGARSS), p. 4295-4298en
dc.identifier.isbn9781467311588en
dc.identifier.isbn9781467311595en
dc.identifier.isbn9781467311601en
dc.identifier.issn2153-7003en
dc.identifier.issn2153-6996en
dc.identifier.urihttps://hdl.handle.net/1959.11/12294-
dc.description.abstractIn this work, a novel method for segmentation of Remote Sensing (RS) images based on the Darwinian Particle Swarm Optimization (DPSO) for determining the n-1 optimal n-level threshold on a given image is proposed. The efficiency of the proposed method is compared with the Particle Swarm Optimization (PSO) based segmentation method. Results show that DPSO-based image segmentation performs better than PSO-based method in a number of different measures.en
dc.languageenen
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.relation.ispartofProceedings of the IEEE International Geoscience and Remote Sensing Symposium (IGARSS)en
dc.titleUse of Darwinian Particle Swarm Optimization technique for the segmentation of Remote Sensing imagesen
dc.typeConference Publicationen
dc.relation.conferenceIGARSS 2012: International Geoscience and Remote Sensing Symposium - Remote Sensing for a Dynamic Earthen
dc.identifier.doi10.1109/IGARSS.2012.6351718en
dc.subject.keywordsPhotogrammetry and Remote Sensingen
local.contributor.firstnamePedramen
local.contributor.firstnameMicael Sen
local.contributor.firstnameNuno M Fen
local.contributor.firstnameLaliten
local.subject.for2008090905 Photogrammetry and Remote Sensingen
local.subject.seo2008890202 Application Tools and System Utilitiesen
local.profile.schoolSchool of Environmental and Rural Scienceen
local.profile.emailpghamisi@une.edu.auen
local.profile.emailmicaelcouceiro@isr.uc.pten
local.profile.emailnunomig@isec.pten
local.profile.emaillkumar@une.edu.auen
local.output.categoryE1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.identifier.epublicationsrecordune-20120815-122047en
local.date.conference22nd - 27th July, 2012en
local.conference.placeMunich, Germanyen
local.publisher.placeLos Alamitos, United States of Americaen
local.identifier.runningnumberWEP-P.238en
local.format.startpage4295en
local.format.endpage4298en
local.peerreviewedYesen
local.contributor.lastnameGhamisien
local.contributor.lastnameCouceiroen
local.contributor.lastnameFerreiraen
local.contributor.lastnameKumaren
dc.identifier.staffune-id:lkumaren
local.profile.orcid0000-0002-9205-756Xen
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:12500en
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleUse of Darwinian Particle Swarm Optimization technique for the segmentation of Remote Sensing imagesen
local.output.categorydescriptionE1 Refereed Scholarly Conference Publicationen
local.conference.detailsIGARSS 2012: International Geoscience and Remote Sensing Symposium - Remote Sensing for a Dynamic Earth, Munich, Germany, 22nd - 27th July, 2012en
local.search.authorGhamisi, Pedramen
local.search.authorCouceiro, Micael Sen
local.search.authorFerreira, Nuno M Fen
local.search.authorKumar, Laliten
local.uneassociationUnknownen
local.year.published2012en
local.subject.for2020401304 Photogrammetry and remote sensingen
local.subject.seo2020220499 Information systems, technologies and services not elsewhere classifieden
local.date.start2012-07-22-
local.date.end2012-07-27-
Appears in Collections:Conference Publication
School of Environmental and Rural Science
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