Assessment of the state of conservation of buildings through roof mapping using very high spatial resolution images

Detalhes bibliográficos
Autor(a) principal: Gonçalves, Luísa M. S.
Data de Publicação: 2009
Outros Autores: Fonte, Cidália C., Júlio, Eduardo N. B. S., Caetano, Mario
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.8/3040
Resumo: The assessment of the state of conservation of buildings is extremely important in urban rehabilitation. In the case of historical towns or city centres, the pathological characterization using traditional methods is a laborious and time consuming procedure. This study aims to show that Very High Spatial Resolution (VHSR) multispectral images can be used to obtain information regarding the state of conservation of roofs where, usually, building degradation starts. The study was performed with multispectral aerial images with a spatial resolution of 0.5 m. To extract the required information, a hybrid classification method was developed, that integrates pixel and object based classification methods, as well as information regarding the classification uncertainty. The proposed method was tested on the classification of the historical city centre of Coimbra, in Portugal, that includes over than 800 buildings. The results were then validated with the data obtained from a study conducted during 2 years by a nine element team from the University of Coimbra, using traditional methods. The study performed achieved a global classification accuracy of 78%, which proves that the state of conservation of roofs can be obtained from VHSR multispectralimages using the described methodology with a fairly good accuracy.
id RCAP_3fc2c477f26988fb4aef62ca5ed53d5d
oai_identifier_str oai:iconline.ipleiria.pt:10400.8/3040
network_acronym_str RCAP
network_name_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository_id_str 7160
spelling Assessment of the state of conservation of buildings through roof mapping using very high spatial resolution imagesBuilding roofsSoft classificationHybrid classificationMeasures of uncertaintyCultural heritageThe assessment of the state of conservation of buildings is extremely important in urban rehabilitation. In the case of historical towns or city centres, the pathological characterization using traditional methods is a laborious and time consuming procedure. This study aims to show that Very High Spatial Resolution (VHSR) multispectral images can be used to obtain information regarding the state of conservation of roofs where, usually, building degradation starts. The study was performed with multispectral aerial images with a spatial resolution of 0.5 m. To extract the required information, a hybrid classification method was developed, that integrates pixel and object based classification methods, as well as information regarding the classification uncertainty. The proposed method was tested on the classification of the historical city centre of Coimbra, in Portugal, that includes over than 800 buildings. The results were then validated with the data obtained from a study conducted during 2 years by a nine element team from the University of Coimbra, using traditional methods. The study performed achieved a global classification accuracy of 78%, which proves that the state of conservation of roofs can be obtained from VHSR multispectralimages using the described methodology with a fairly good accuracy.IC-OnlineGonçalves, Luísa M. S.Fonte, Cidália C.Júlio, Eduardo N. B. S.Caetano, Mario2018-02-19T15:57:33Z20092009-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.8/3040eng10.1016/j.conbuildmat.2009.03.002info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-01-17T15:46:22Zoai:iconline.ipleiria.pt:10400.8/3040Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:47:14.901261Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Assessment of the state of conservation of buildings through roof mapping using very high spatial resolution images
title Assessment of the state of conservation of buildings through roof mapping using very high spatial resolution images
spellingShingle Assessment of the state of conservation of buildings through roof mapping using very high spatial resolution images
Gonçalves, Luísa M. S.
Building roofs
Soft classification
Hybrid classification
Measures of uncertainty
Cultural heritage
title_short Assessment of the state of conservation of buildings through roof mapping using very high spatial resolution images
title_full Assessment of the state of conservation of buildings through roof mapping using very high spatial resolution images
title_fullStr Assessment of the state of conservation of buildings through roof mapping using very high spatial resolution images
title_full_unstemmed Assessment of the state of conservation of buildings through roof mapping using very high spatial resolution images
title_sort Assessment of the state of conservation of buildings through roof mapping using very high spatial resolution images
author Gonçalves, Luísa M. S.
author_facet Gonçalves, Luísa M. S.
Fonte, Cidália C.
Júlio, Eduardo N. B. S.
Caetano, Mario
author_role author
author2 Fonte, Cidália C.
Júlio, Eduardo N. B. S.
Caetano, Mario
author2_role author
author
author
dc.contributor.none.fl_str_mv IC-Online
dc.contributor.author.fl_str_mv Gonçalves, Luísa M. S.
Fonte, Cidália C.
Júlio, Eduardo N. B. S.
Caetano, Mario
dc.subject.por.fl_str_mv Building roofs
Soft classification
Hybrid classification
Measures of uncertainty
Cultural heritage
topic Building roofs
Soft classification
Hybrid classification
Measures of uncertainty
Cultural heritage
description The assessment of the state of conservation of buildings is extremely important in urban rehabilitation. In the case of historical towns or city centres, the pathological characterization using traditional methods is a laborious and time consuming procedure. This study aims to show that Very High Spatial Resolution (VHSR) multispectral images can be used to obtain information regarding the state of conservation of roofs where, usually, building degradation starts. The study was performed with multispectral aerial images with a spatial resolution of 0.5 m. To extract the required information, a hybrid classification method was developed, that integrates pixel and object based classification methods, as well as information regarding the classification uncertainty. The proposed method was tested on the classification of the historical city centre of Coimbra, in Portugal, that includes over than 800 buildings. The results were then validated with the data obtained from a study conducted during 2 years by a nine element team from the University of Coimbra, using traditional methods. The study performed achieved a global classification accuracy of 78%, which proves that the state of conservation of roofs can be obtained from VHSR multispectralimages using the described methodology with a fairly good accuracy.
publishDate 2009
dc.date.none.fl_str_mv 2009
2009-01-01T00:00:00Z
2018-02-19T15:57:33Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.8/3040
url http://hdl.handle.net/10400.8/3040
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1016/j.conbuildmat.2009.03.002
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
_version_ 1799136966823903232