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Tipo de ReferênciaArtigo em Evento (Conference Proceedings)
Sitemtc-m21b.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W34P/3K5JKMH
Repositóriosid.inpe.br/mtc-m21b/2015/08.25.13.28
Metadadossid.inpe.br/mtc-m21b/2015/08.25.13.28.26
Última Atualização dos Metadados2018:06.04.02.55.38 administrator
Chave SecundáriaINPE--PRE/
Chave de CitaçãoCarvalhoKuxFlorSilv:2015:GeObIm
TítuloGeographic object-based image analysis (GEOBIA) and data mining for urban land use classification by blocks using WorldView-2 images
Ano2015
Data de Acesso20 abr. 2021
Área de contextualização
Autor1 Carvalho, Marcus
2 Kux, Hermann Johann Heinrich
3 Florenzano, Teresa Galotti
4 Silva, Gabriella
Identificador de Curriculo1
2 8JMKD3MGP5W/3C9JHCD
Grupo1
2 DSR-OBT-INPE-MCTI-GOV-BR
3 DSR-OBT-INPE-MCTI-GOV-BR
Afiliação1 Universidade Federal Fluminense (UFF)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Instituto Nacional de Pesquisas Espaciais (INPE)
4 Universidade Federal do Rio de Janeiro (UFRJ)
Endereço de e-Mail do Autor1
2 hermann@ltid.inpe.br
3 teresa@ltid.inpe.br
Nome do EventoInternational Cartographic Conference, 27
Localização do EventoRio de Janeiro, RJ
Data23-28 Aug.
Tipo SecundárioPRE CI
Histórico2015-08-25 13:28:26 :: simone -> administrator ::
2018-06-04 02:55:38 :: administrator -> simone :: 2015
Área de conteúdo e estrutura
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteudoExternal Contribution
Palavras-ChaveGeographic object-based image analysis, Data mining, Urban land use by blocks.
ResumoThe objective of this study is to develop and evaluate a methodology for the analysis of WorldView-2 images based on Geographic Object-Based Image Analysis (GEOBIA) and Data Mining, to classify urban land use per block. The area under study is a section at the western part of São Paulo Metropolitan Region. Mapping land use per urban block is an important information source for managers and decision makers in urban areas. Among the land cover classes considered in this work, seven were used by the São Paulo Municipality in the official maps. Objects located within the blocks are helpful to characterize these areas. So, in order to analyze the context and the relationship among classes for the elaboration of land use mapping per block, a classification procedure was adopted previously done with good accuracy considering a lower hierarchical level (sub-objects) at the level of blocks (super-objects). The steps followed were: selection and sample collection at the blocks to train the classifier, choice of attributes to be analyzed by the data mining algorithm, generation and implementation of a decision tree using the DEFINIENS Developer software, for the classification of the WorldView-2 image. It is concluded that the use of the OBIA paradigm and Data Mining techniques were helpful for mapping urban land use. The Kappa index was 0.7050 and the global precision 0.7556.
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Repositório Espelhourlib.net/www/2011/03.29.20.55
Unidades Imediatamente Superiores8JMKD3MGPCW/3ER446E
Acervo Hospedeirosid.inpe.br/mtc-m21b/2013/09.26.14.25.20
Área de notas
Campos Vaziosaccessionnumber archivingpolicy archivist booktitle callnumber copyholder copyright creatorhistory descriptionlevel dissemination doi e-mailaddress edition editor format isbn issn label language lineage mark nextedition notes numberoffiles numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project publisher publisheraddress rightsholder secondarydate secondarymark serieseditor session shorttitle size sponsor subject targetfile tertiarymark tertiarytype type url versiontype volume
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