Road region detection in urban areas combining high-resolution RGB image and laser scanning data in a classification framework

Detalhes bibliográficos
Autor(a) principal: Poz, A.P. Dal [UNESP]
Data de Publicação: 2013
Outros Autores: Mendes, T. S.G. [UNESP]
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://hdl.handle.net/11449/227944
Resumo: This paper addresses the problem of road region detection in urban areas using an image classification approach. In order to minimize the spectral superposition of the road (asphalt) class with other classes, the Artificial Neural Networks (ANN) image classification method was used to classify geometrically-integrated high-resolution RGB aerial and laser-derived images. The RGB image was combined with different laser data layers and the ANN classification results showed that the radiometric and geometric laser data allows a better detection of road pixel.
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spelling Road region detection in urban areas combining high-resolution RGB image and laser scanning data in a classification frameworkArtificial Neural NetworkLaser pulse intensity imageNormalized digital surface modelRGB aerial imageThis paper addresses the problem of road region detection in urban areas using an image classification approach. In order to minimize the spectral superposition of the road (asphalt) class with other classes, the Artificial Neural Networks (ANN) image classification method was used to classify geometrically-integrated high-resolution RGB aerial and laser-derived images. The RGB image was combined with different laser data layers and the ANN classification results showed that the radiometric and geometric laser data allows a better detection of road pixel.Dept. of Cartography, São Paulo State University, R. Roberto Simonsen, 305Dept. of Cartography, São Paulo State University, R. Roberto Simonsen, 305Universidade Estadual Paulista (UNESP)Poz, A.P. Dal [UNESP]Mendes, T. S.G. [UNESP]2022-04-29T07:25:55Z2022-04-29T07:25:55Z2013-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject53-56International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, v. 40, n. 1W1, p. 53-56, 2013.1682-1750http://hdl.handle.net/11449/2279442-s2.0-84924691822Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archivesinfo:eu-repo/semantics/openAccess2024-06-18T15:02:40Zoai:repositorio.unesp.br:11449/227944Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-06-18T15:02:40Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Road region detection in urban areas combining high-resolution RGB image and laser scanning data in a classification framework
title Road region detection in urban areas combining high-resolution RGB image and laser scanning data in a classification framework
spellingShingle Road region detection in urban areas combining high-resolution RGB image and laser scanning data in a classification framework
Poz, A.P. Dal [UNESP]
Artificial Neural Network
Laser pulse intensity image
Normalized digital surface model
RGB aerial image
title_short Road region detection in urban areas combining high-resolution RGB image and laser scanning data in a classification framework
title_full Road region detection in urban areas combining high-resolution RGB image and laser scanning data in a classification framework
title_fullStr Road region detection in urban areas combining high-resolution RGB image and laser scanning data in a classification framework
title_full_unstemmed Road region detection in urban areas combining high-resolution RGB image and laser scanning data in a classification framework
title_sort Road region detection in urban areas combining high-resolution RGB image and laser scanning data in a classification framework
author Poz, A.P. Dal [UNESP]
author_facet Poz, A.P. Dal [UNESP]
Mendes, T. S.G. [UNESP]
author_role author
author2 Mendes, T. S.G. [UNESP]
author2_role author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (UNESP)
dc.contributor.author.fl_str_mv Poz, A.P. Dal [UNESP]
Mendes, T. S.G. [UNESP]
dc.subject.por.fl_str_mv Artificial Neural Network
Laser pulse intensity image
Normalized digital surface model
RGB aerial image
topic Artificial Neural Network
Laser pulse intensity image
Normalized digital surface model
RGB aerial image
description This paper addresses the problem of road region detection in urban areas using an image classification approach. In order to minimize the spectral superposition of the road (asphalt) class with other classes, the Artificial Neural Networks (ANN) image classification method was used to classify geometrically-integrated high-resolution RGB aerial and laser-derived images. The RGB image was combined with different laser data layers and the ANN classification results showed that the radiometric and geometric laser data allows a better detection of road pixel.
publishDate 2013
dc.date.none.fl_str_mv 2013-01-01
2022-04-29T07:25:55Z
2022-04-29T07:25:55Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/conferenceObject
format conferenceObject
status_str publishedVersion
dc.identifier.uri.fl_str_mv International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, v. 40, n. 1W1, p. 53-56, 2013.
1682-1750
http://hdl.handle.net/11449/227944
2-s2.0-84924691822
identifier_str_mv International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, v. 40, n. 1W1, p. 53-56, 2013.
1682-1750
2-s2.0-84924691822
url http://hdl.handle.net/11449/227944
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 53-56
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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