1. Identificação | |
Tipo de Referência | Artigo em Revista Científica (Journal Article) |
Site | mtc-m21b.sid.inpe.br |
Código do Detentor | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
Identificador | 8JMKD3MGP3W34P/3MB5SR5 |
Repositório | sid.inpe.br/mtc-m21b/2016/08.25.17.11 (acesso restrito) |
Última Atualização | 2017:01.16.15.07.35 (UTC) simone |
Repositório de Metadados | sid.inpe.br/mtc-m21b/2016/08.25.17.11.18 |
Última Atualização dos Metadados | 2018:06.04.02.41.04 (UTC) administrator |
DOI | 10.5194/isprsarchives-XLI-B7-883-2016 |
ISSN | 1682-1750 |
Chave de Citação | Brum-BastosRibPinKörFon:2016:ImEvCe |
Título | Improvement evaluation on ceramic roof extraction using WorldView-2 imagery and geographic data mining approach |
Ano | 2016 |
Mês | July |
Data de Acesso | 19 abr. 2024 |
Tipo de Trabalho | conference paper |
Tipo Secundário | PRE PI |
Número de Arquivos | 1 |
Tamanho | 1423 KiB |
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2. Contextualização | |
Autor | 1 Brum-Bastos, V. S. 2 Ribeiro, B. M. G. 3 Pinheiro, C. M. D. 4 Körting, Thales Sehn 5 Fonseca, Leila Maria Garcia |
Identificador de Curriculo | 1 2 3 4 5 8JMKD3MGP5W/3C9JHLD |
Grupo | 1 2 3 4 DPI-OBT-INPE-MCTI-GOV-BR 5 OBT-OBT-INPE-MCTI-GOV-BR |
Afiliação | 1 University of St. Andrews 2 Universidade Federal do Rio Grande do Sul (UFRGS) 3 Universidade Federal do ABC (UFABC) 4 Instituto Nacional de Pesquisas Espaciais (INPE) 5 Instituto Nacional de Pesquisas Espaciais (INPE) |
Endereço de e-Mail do Autor | 1 2 3 4 thales.korting@inpe.br 5 leila.fonseca@inpe.br |
Revista | International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
Volume | 41 |
Páginas | 883-889 |
Histórico (UTC) | 2016-08-25 17:12:05 :: simone -> administrator :: 2016 2016-08-26 19:42:25 :: administrator -> simone :: 2016 2016-12-22 16:44:18 :: simone -> administrator :: 2016 2017-01-09 13:59:30 :: administrator -> simone :: 2016 2017-01-16 15:07:35 :: simone -> administrator :: 2016 2018-06-04 02:41:04 :: administrator -> simone :: 2016 |
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3. Conteúdo e estrutura | |
É a matriz ou uma cópia? | é a matriz |
Estágio do Conteúdo | concluido |
Transferível | 1 |
Tipo do Conteúdo | External Contribution |
Tipo de Versão | publisher |
Palavras-Chave | C4.5 Ceramic roof Classification accuracy Decision tree GEOBIA Geographical data mining WorldView-2 |
Resumo | Advances in geotechnologies and in remote sensing have improved analysis of urban environments. The new sensors are increasingly suited to urban studies, due to the enhancement in spatial, spectral and radiometric resolutions. Urban environments present high heterogeneity, which cannot be tackled using pixel-based approaches on high resolution images. Geographic Object-Based Image Analysis (GEOBIA) has been consolidated as a methodology for urban land use and cover monitoring; however, classification of high resolution images is still troublesome. This study aims to assess the improvement on ceramic roof classification using WorldView-2 images due to the increase of 4 new bands besides the standard "Blue-Green-Red-Near Infrared" bands. Our methodology combines GEOBIA, C4.5 classification tree algorithm, Monte Carlo simulation and statistical tests for classification accuracy. Two samples groups were considered: 1) eight multispectral and panchromatic bands, and 2) four multispectral and panchromatic bands, representing previous high-resolution sensors. The C4.5 algorithm generates a decision tree that can be used for classification; smaller decision trees are closer to the semantic networks produced by experts on GEOBIA, while bigger trees, are not straightforward to implement manually, but are more accurate. The choice for a big or small tree relies on the user's skills to implement it. This study aims to determine for what kind of user the addition of the 4 new bands might be beneficial: 1) the common user (smaller trees) or 2) a more skilled user with coding and/or data mining abilities (bigger trees). In overall the classification was improved by the addition of the four new bands for both types of users. |
Área | SRE |
Arranjo 1 | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDPI > Improvement evaluation on... |
Arranjo 2 | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > CGOBT > Improvement evaluation on... |
Conteúdo da Pasta doc | acessar |
Conteúdo da Pasta source | não têm arquivos |
Conteúdo da Pasta agreement | |
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4. Condições de acesso e uso | |
Idioma | en |
Grupo de Usuários | simone |
Grupo de Leitores | administrator simone |
Visibilidade | shown |
Permissão de Leitura | deny from all and allow from 150.163 |
Permissão de Atualização | não transferida |
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5. Fontes relacionadas | |
Repositório Espelho | urlib.net/www/2011/03.29.20.55 |
Unidades Imediatamente Superiores | 8JMKD3MGPCW/3EQCCU5 8JMKD3MGPCW/3EU2H28 |
Lista de Itens Citando | sid.inpe.br/bibdigital/2013/09.09.15.05 2 sid.inpe.br/bibdigital/2013/10.01.23.43 1 |
Divulgação | WEBSCI; PORTALCAPES; COMPENDEX. |
Acervo Hospedeiro | sid.inpe.br/mtc-m21b/2013/09.26.14.25.20 |
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6. Notas | |
Notas | 3rd International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Congress, ISPRS 2016; Prague; Czech Republic; 12 -19 July 2016. |
Campos Vazios | alternatejournal archivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark nextedition number orcid parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate secondarykey secondarymark session shorttitle sponsor subject targetfile tertiarymark tertiarytype url |
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7. Controle da descrição | |
e-Mail (login) | simone |
atualizar | |
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