LAND-USE CLASSIFICATION USING FINITE ELEMENT MACHINES

Detalhes bibliográficos
Autor(a) principal: Pereira, D. R. [UNESP]
Data de Publicação: 2018
Outros Autores: Papa, J. P. [UNESP], Papa, L. P., Pisani, R. J., IEEE
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://hdl.handle.net/11449/184129
Resumo: Satellite 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.
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spelling LAND-USE CLASSIFICATION USING FINITE ELEMENT MACHINESLand-use classificationFinite Element MachinesRemote SensingSatellite 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.Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Fundação para o Desenvolvimento da UNESP (FUNDUNESP)Sao Paulo State Univ, UNESP, Dept Comp, Sao Paulo, BrazilFac Southwest Paulista, Dept Hlth, Sao Paulo, BrazilUniv Jose do Rosario Vellano, Inst Nat Sci, Alfenas, BrazilSao Paulo State Univ, UNESP, Dept Comp, Sao Paulo, BrazilCNPq: 306166/2014-3FAPESP: 2013/07375-0FAPESP: 2014/12236-1FAPESP: 2016/19403-6FUNDUNESP: 2597.2017IeeeUniversidade Estadual Paulista (Unesp)Fac Southwest PaulistaUniv Jose do Rosario VellanoPereira, D. R. [UNESP]Papa, J. P. [UNESP]Papa, L. P.Pisani, R. J.IEEE2019-10-03T18:20:08Z2019-10-03T18:20:08Z2018-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject7316-7319Igarss 2018 - 2018 Ieee International Geoscience And Remote Sensing Symposium. New York: Ieee, p. 7316-7319, 2018.2153-6996http://hdl.handle.net/11449/184129WOS:000451039807004Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengIgarss 2018 - 2018 Ieee International Geoscience And Remote Sensing Symposiuminfo:eu-repo/semantics/openAccess2021-10-22T21:54:13Zoai:repositorio.unesp.br:11449/184129Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462021-10-22T21:54:13Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv LAND-USE CLASSIFICATION USING FINITE ELEMENT MACHINES
title LAND-USE CLASSIFICATION USING FINITE ELEMENT MACHINES
spellingShingle LAND-USE CLASSIFICATION USING FINITE ELEMENT MACHINES
Pereira, D. R. [UNESP]
Land-use classification
Finite Element Machines
Remote Sensing
title_short LAND-USE CLASSIFICATION USING FINITE ELEMENT MACHINES
title_full LAND-USE CLASSIFICATION USING FINITE ELEMENT MACHINES
title_fullStr LAND-USE CLASSIFICATION USING FINITE ELEMENT MACHINES
title_full_unstemmed LAND-USE CLASSIFICATION USING FINITE ELEMENT MACHINES
title_sort LAND-USE CLASSIFICATION USING FINITE ELEMENT MACHINES
author Pereira, D. R. [UNESP]
author_facet Pereira, D. R. [UNESP]
Papa, J. P. [UNESP]
Papa, L. P.
Pisani, R. J.
IEEE
author_role author
author2 Papa, J. P. [UNESP]
Papa, L. P.
Pisani, R. J.
IEEE
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
Fac Southwest Paulista
Univ Jose do Rosario Vellano
dc.contributor.author.fl_str_mv Pereira, D. R. [UNESP]
Papa, J. P. [UNESP]
Papa, L. P.
Pisani, R. J.
IEEE
dc.subject.por.fl_str_mv Land-use classification
Finite Element Machines
Remote Sensing
topic Land-use classification
Finite Element Machines
Remote Sensing
description Satellite 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.
publishDate 2018
dc.date.none.fl_str_mv 2018-01-01
2019-10-03T18:20:08Z
2019-10-03T18:20:08Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/conferenceObject
format conferenceObject
status_str publishedVersion
dc.identifier.uri.fl_str_mv Igarss 2018 - 2018 Ieee International Geoscience And Remote Sensing Symposium. New York: Ieee, p. 7316-7319, 2018.
2153-6996
http://hdl.handle.net/11449/184129
WOS:000451039807004
identifier_str_mv Igarss 2018 - 2018 Ieee International Geoscience And Remote Sensing Symposium. New York: Ieee, p. 7316-7319, 2018.
2153-6996
WOS:000451039807004
url http://hdl.handle.net/11449/184129
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Igarss 2018 - 2018 Ieee International Geoscience And Remote Sensing Symposium
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 7316-7319
dc.publisher.none.fl_str_mv Ieee
publisher.none.fl_str_mv Ieee
dc.source.none.fl_str_mv Web of Science
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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