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1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Sitemtc-m16d.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP7W/38UFGLE
Repositóriosid.inpe.br/mtc-m19/2011/01.12.11.53   (acesso restrito)
Última Atualização2011:02.07.15.20.06 (UTC) administrator
Repositório de Metadadossid.inpe.br/mtc-m19/2011/01.12.11.53.58
Última Atualização dos Metadados2018:06.05.04.35.17 (UTC) administrator
Chave SecundáriaINPE--PRE/
DOI10.1080/14498596.2010.487640
ISSN1449-8596
Chave de CitaçãoNovackKux:2010:UrLaCo
TítuloUrban land cover and land use classification of an informal settlement area using the open-source knowledge-based system InterIMAGE
Ano2010
MêsJune
Data de Acesso11 maio 2024
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho2532 KiB
2. Contextualização
Autor1 Novack, T
2 Kux, H. J. H
Grupo1
2 DSR-OBT-INPE-MCT-BR
Afiliação1
2 Instituto Nacional de Pesquisas Espaciais (INPE)
RevistaJournal of Spatial Science
Volume55
Número1
Páginas23 -41
Histórico (UTC)2011-02-08 11:53:57 :: marciana -> administrator :: 2010
2018-06-05 04:35:17 :: administrator -> marciana :: 2010
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
ResumoThis study uses the InterIMAGE system and imagery from the Quick Bird sensor for land cover and land use classification at two test sites with informal settlements in the metropolis of Sao Paulo, Brazil InterIMAGE is an open source and free access system for knowledge-based image classification Within InterIMAGE human knowledge is represented as a semantic net and by user-defined rules based on the paradigms of object-oriented image analysis In the land cover classification step, a genetic algorithm was used for determining appropriate segmentation parameters For the description of the land cover classes in terms of features and thresholds, a strategy combining machine learning algorithms and a semantic net was elaborated Based on the land cover classifications, the land use classifications were carried out considering the urban blocks of the test sites as the analysis units Customized features related to the composition and geometrical structures of the land cover objects within these blocks were used for the description of the land use classes The proposed methodology has been shown to be efficient for the automatic mapping of the land cover and land use in complex urban areas The land cover classifications achieved overall accuracies above 70 percent and Kappa indexes above 0.65. Referring to the land use classifications, overall accuracies above 87 percent and Kappa indexes above 0 71 were obtained This study has explored the main functionalities of the InterIMAGE system, presenting as potential for object-based and knowledge-based image classification.
ÁreaSRE
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4. Condições de acesso e uso
Idiomaen
Arquivo Alvo98-311-1-PB-1.pdf
Grupo de Usuáriosadministrator
marciana
Visibilidadeshown
Política de Arquivamentodenypublisher denyfinaldraft12
Permissão de Leituradeny from all and allow from 150.163
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Repositório Espelhosid.inpe.br/mtc-m19@80/2009/08.21.17.02.53
Unidades Imediatamente Superiores8JMKD3MGPCW/3ER446E
DivulgaçãoWEBSCI
Acervo Hospedeirosid.inpe.br/mtc-m19@80/2009/08.21.17.02
6. Notas
Campos Vaziosalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress electronicmailaddress format isbn keywords label lineage mark nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readergroup resumeid rightsholder schedulinginformation secondarydate secondarymark session shorttitle sponsor subject tertiarymark tertiarytype typeofwork url versiontype
7. Controle da descrição
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