Toward Satellite-Based Land Cover Classification Through Optimum-Path Forest

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dc.contributor.authorPisani, Rodrigo Jose [UNESP]
dc.contributor.authorMizobe Nakamura, Rodrigo Yuji [UNESP]
dc.contributor.authorRiedel, Paulina Setti [UNESP]
dc.contributor.authorLopes Zimback, Celia Regina [UNESP]
dc.contributor.authorFalcao, Alexandre Xavier
dc.contributor.authorPapa, João Paulo [UNESP]
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionUniversidade Estadual de Campinas (UNICAMP)
dc.date.accessioned2015-03-18T15:55:07Z
dc.date.available2015-03-18T15:55:07Z
dc.date.issued2014-10-01
dc.description.abstractLand cover classification has been paramount in the last years. Since the amount of information acquired by satellite on-board imaging systems has increased, there is a need for automatic tools that can tackle such problem. Despite the fact that one can find several works in the literature, we propose a novel methodology for land cover classification by means of the optimum-path forest (OPF) framework, which has never been applied to this context up to date. Experiments were conducted in supervised and unsupervised situations against some state-of-the-art pattern recognition techniques, such as support vector machines, Bayesian classifier, k-means, and mean shift. We had shown that supervised OPF can outperform such approaches, being much faster than all. In regard to clustering techniques, all classifiers have achieved similar results.en
dc.description.affiliationUnesp Univ Estadual Paulista, Inst Geosci & Exact Sci, BR-13506900 Rio Claro, Brazil
dc.description.affiliationUnesp Univ Estadual Paulista, Dept Comp Sci, BR-17040 Bauru, Brazil
dc.description.affiliationUnesp Univ Estadual Paulista, Sch Agron Sci, BR-18618970 Botucatu, SP, Brazil
dc.description.affiliationUnicamp Univ Campinas, Inst Comp, BR-13083859 Campinas, SP, Brazil
dc.description.affiliationUnespUnesp Univ Estadual Paulista, Inst Geosci & Exact Sci, BR-13506900 Rio Claro, Brazil
dc.description.affiliationUnespUnesp Univ Estadual Paulista, Dept Comp Sci, BR-17040 Bauru, Brazil
dc.description.affiliationUnespUnesp Univ Estadual Paulista, Sch Agron Sci, BR-18618970 Botucatu, SP, 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.sponsorshipPro Reitoria de Pesquisa da UNESP (Sao Paulo State University)
dc.description.sponsorshipFundação para o Desenvolvimento da UNESP (FUNDUNESP)
dc.description.sponsorshipIdFAPESP: 09/16206-1
dc.description.sponsorshipIdFAPESP: 10/11676-7
dc.description.sponsorshipIdCNPq: 303182/2011-3
dc.description.sponsorshipIdCNPq: 303673/2010-9
dc.format.extent6075-6085
dc.identifierhttp://dx.doi.org/10.1109/TGRS.2013.2294762
dc.identifier.citationIeee Transactions On Geoscience And Remote Sensing. Piscataway: Ieee-inst Electrical Electronics Engineers Inc, v. 52, n. 10, p. 6075-6085, 2014.
dc.identifier.doi10.1109/TGRS.2013.2294762
dc.identifier.issn0196-2892
dc.identifier.lattes9039182932747194
dc.identifier.urihttp://hdl.handle.net/11449/117074
dc.identifier.wosWOS:000337173200007
dc.language.isoeng
dc.publisherIeee-inst Electrical Electronics Engineers Inc
dc.relation.ispartofIeee Transactions On Geoscience And Remote Sensing
dc.relation.ispartofjcr4.662
dc.relation.ispartofsjr2,649
dc.rights.accessRightsAcesso restrito
dc.sourceWeb of Science
dc.subjectLand cover classificationen
dc.subjectoptimum-path forest (OPF)en
dc.subjectremote sensingen
dc.titleToward Satellite-Based Land Cover Classification Through Optimum-Path Foresten
dc.typeArtigo
dcterms.licensehttp://www.ieee.org/publications_standards/publications/rights/rights_policies.html
dcterms.rightsHolderIeee-inst Electrical Electronics Engineers Inc
unesp.author.lattes9039182932747194
unesp.author.lattes4637003229684941[4]
unesp.author.orcid0000-0002-6494-7514[6]
unesp.author.orcid0000-0002-0591-9070[4]
unesp.campusUniversidade Estadual Paulista (Unesp), Faculdade de Ciências, Baurupt
unesp.departmentComputação - FCpt

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Bauru - FC - Faculdade de Ciências