LAND-USE CLASSIFICATION USING FINITE ELEMENT MACHINES

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dc.contributor.authorPereira, D. R. [UNESP]
dc.contributor.authorPapa, J. P. [UNESP]
dc.contributor.authorPapa, L. P.
dc.contributor.authorPisani, R. J.
dc.contributor.authorIEEE
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionFac Southwest Paulista
dc.contributor.institutionUniv Jose do Rosario Vellano
dc.date.accessioned2019-10-03T18:20:08Z
dc.date.available2019-10-03T18:20:08Z
dc.date.issued2018-01-01
dc.description.abstractSatellite images have been used in a number of applications, both in the academy and in the industry. One critical purpose concerns the land-use classification, which aims at automatically identifying different land-use applications, which range from economy and environmental monitoring to resources planning. In this paper, we introduce a new machine learning technique called Finite Element Machines (FEMa) in the context of land-use classification using satellite images. We show that FEMa can obtain results that are comparable to some state-of-the-art techniques in the literature.en
dc.description.affiliationSao Paulo State Univ, UNESP, Dept Comp, Sao Paulo, Brazil
dc.description.affiliationFac Southwest Paulista, Dept Hlth, Sao Paulo, Brazil
dc.description.affiliationUniv Jose do Rosario Vellano, Inst Nat Sci, Alfenas, Brazil
dc.description.affiliationUnespSao Paulo State Univ, UNESP, Dept Comp, Sao Paulo, Brazil
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.description.sponsorshipFundação para o Desenvolvimento da UNESP (FUNDUNESP)
dc.description.sponsorshipIdCNPq: 306166/2014-3
dc.description.sponsorshipIdFAPESP: 2013/07375-0
dc.description.sponsorshipIdFAPESP: 2014/12236-1
dc.description.sponsorshipIdFAPESP: 2016/19403-6
dc.description.sponsorshipIdFUNDUNESP: 2597.2017
dc.format.extent7316-7319
dc.identifier.citationIgarss 2018 - 2018 Ieee International Geoscience And Remote Sensing Symposium. New York: Ieee, p. 7316-7319, 2018.
dc.identifier.issn2153-6996
dc.identifier.urihttp://hdl.handle.net/11449/184129
dc.identifier.wosWOS:000451039807004
dc.language.isoeng
dc.publisherIeee
dc.relation.ispartofIgarss 2018 - 2018 Ieee International Geoscience And Remote Sensing Symposium
dc.rights.accessRightsAcesso aberto
dc.sourceWeb of Science
dc.subjectLand-use classification
dc.subjectFinite Element Machines
dc.subjectRemote Sensing
dc.titleLAND-USE CLASSIFICATION USING FINITE ELEMENT MACHINESen
dc.typeTrabalho apresentado em evento
dcterms.licensehttp://www.ieee.org/publications_standards/publications/rights/rights_policies.html
dcterms.rightsHolderIeee

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