Fine-Tuning Contextual-Based Optimum-Path Forest for Land-Cover Classification

dc.contributor.authorOsaku, Daniel
dc.contributor.authorPereira, Danillo R. [UNESP]
dc.contributor.authorLevada, Alexandre L. M.
dc.contributor.authorPapa, Joao P. [UNESP]
dc.contributor.institutionUniversidade Federal de São Carlos (UFSCar)
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2018-11-27T13:40:00Z
dc.date.available2018-11-27T13:40:00Z
dc.date.issued2016-05-01
dc.description.abstractContextual-based learning aims at considering neighboring pixels to improve pixelwise-oriented classification techniques. In this letter, we presented a metaheuristic framework for the optimization of nondiscrete Markovian models considering the optimum-path forest (OPF) classifier, and we proposed a post-processing procedure to avoid overcorrection over high-frequency regions. The proposed approach outperformed previous results obtained with standard OPF in satellite imagery.en
dc.description.affiliationUniv Fed Sao Carlos, Dept Comp Sci, BR-13565905 Sao Carlos, SP, Brazil
dc.description.affiliationSao Paulo State Univ, Dept Comp, BR-01049010 Sao Paulo, Brazil
dc.description.affiliationUnespSao Paulo State Univ, Dept Comp, BR-01049010 Sao Paulo, Brazil
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.description.sponsorshipIdFAPESP: 2012/06472-9
dc.description.sponsorshipIdFAPESP: 2013/20387-7
dc.description.sponsorshipIdFAPESP: 2014/16250-9
dc.description.sponsorshipIdCNPq: 303182/2011-3
dc.description.sponsorshipIdCNPq: 470571/2013-6
dc.description.sponsorshipIdCNPq: 306166/2014-3
dc.format.extent735-739
dc.identifierhttp://dx.doi.org/10.1109/LGRS.2016.2541458
dc.identifier.citationIeee Geoscience And Remote Sensing Letters. Piscataway: Ieee-inst Electrical Electronics Engineers Inc, v. 13, n. 5, p. 735-739, 2016.
dc.identifier.doi10.1109/LGRS.2016.2541458
dc.identifier.fileWOS000375274700026.pdf
dc.identifier.issn1545-598X
dc.identifier.urihttp://hdl.handle.net/11449/165152
dc.identifier.wosWOS:000375274700026
dc.language.isoeng
dc.publisherIeee-inst Electrical Electronics Engineers Inc
dc.relation.ispartofIeee Geoscience And Remote Sensing Letters
dc.rights.accessRightsAcesso aberto
dc.sourceWeb of Science
dc.subjectContextual classification
dc.subjectoptimum-path forest (OPF)
dc.titleFine-Tuning Contextual-Based Optimum-Path Forest for Land-Cover Classificationen
dc.typeArtigo
dcterms.licensehttp://www.ieee.org/publications_standards/publications/rights/rights_policies.html
dcterms.rightsHolderIeee-inst Electrical Electronics Engineers Inc
unesp.campusUniversidade Estadual Paulista (Unesp), Faculdade de Ciências, Baurupt
unesp.departmentComputação - FCpt

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