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1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Sitemtc-m21b.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W34P/3MB5SR5
Repositóriosid.inpe.br/mtc-m21b/2016/08.25.17.11   (acesso restrito)
Última Atualização2017:01.16.15.07.35 (UTC) simone
Repositório de Metadadossid.inpe.br/mtc-m21b/2016/08.25.17.11.18
Última Atualização dos Metadados2018:06.04.02.41.04 (UTC) administrator
DOI10.5194/isprsarchives-XLI-B7-883-2016
ISSN1682-1750
Chave de CitaçãoBrum-BastosRibPinKörFon:2016:ImEvCe
TítuloImprovement evaluation on ceramic roof extraction using WorldView-2 imagery and geographic data mining approach
Ano2016
MêsJuly
Data de Acesso27 nov. 2022
Tipo de Trabalhoconference paper
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho1423 KiB
2. Contextualização
Autor1 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 Curriculo1
2
3
4
5 8JMKD3MGP5W/3C9JHLD
Grupo1
2
3
4 DPI-OBT-INPE-MCTI-GOV-BR
5 OBT-OBT-INPE-MCTI-GOV-BR
Afiliação1 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 Autor1
2
3
4 thales.korting@inpe.br
5 leila.fonseca@inpe.br
RevistaInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Volume41
Páginas883-889
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
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
Tipo de Versãopublisher
Palavras-ChaveC4.5
Ceramic roof
Classification accuracy
Decision tree
GEOBIA
Geographical data mining
WorldView-2
ResumoAdvances 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.
ÁreaSRE
Arranjo 1urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDPI > Improvement evaluation on...
Arranjo 2urlib.net > BDMCI > Fonds > Produção anterior à 2021 > CGOBT > Improvement evaluation on...
Conteúdo da Pasta docacessar
Conteúdo da Pasta sourcenão têm arquivos
Conteúdo da Pasta agreement
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4. Condições de acesso e uso
Idiomaen
Grupo de Usuáriossimone
Grupo de Leitoresadministrator
simone
Visibilidadeshown
Permissão de Leituradeny from all and allow from 150.163
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Repositório Espelhourlib.net/www/2011/03.29.20.55
Unidades Imediatamente Superiores8JMKD3MGPCW/3EQCCU5
8JMKD3MGPCW/3EU2H28
DivulgaçãoWEBSCI; PORTALCAPES; COMPENDEX.
Acervo Hospedeirosid.inpe.br/mtc-m21b/2013/09.26.14.25.20
6. Notas
Notas3rd International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Congress, ISPRS 2016; Prague; Czech Republic; 12 -19 July 2016.
Campos Vaziosalternatejournal archivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark nextedition number orcid parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder secondarydate secondarykey secondarymark session shorttitle sponsor subject targetfile tertiarymark tertiarytype url
7. Controle da descrição
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