ROAD REGION DETECTION IN URBAN AREAS COMBINING HIGH-RESOLUTION RGB IMAGE AND LASER SCANNING DATA IN A CLASSIFICATION FRAMEWORK

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Estadual Paulista (Unesp)-
Autor(es): dc.creatorDal Poz, A. P. [UNESP]-
Autor(es): dc.creatorMendes, T. S. G. [UNESP]-
Autor(es): dc.creatorHeipke, C.-
Autor(es): dc.creatorJacobsen, K.-
Autor(es): dc.creatorRottensteiner, F.-
Autor(es): dc.creatorSorgel, U.-
Data de aceite: dc.date.accessioned2022-02-22T00:08:25Z-
Data de disponibilização: dc.date.available2022-02-22T00:08:25Z-
Data de envio: dc.date.issued2020-12-09-
Data de envio: dc.date.issued2020-12-09-
Data de envio: dc.date.issued2013-01-01-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/196079-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/196079-
Descrição: dc.descriptionThis 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.-
Descrição: dc.descriptionSao Paulo State Univ, Dept Cartog, Presidente Prudente, SP, Brazil-
Descrição: dc.descriptionSao Paulo State Univ, Dept Cartog, Presidente Prudente, SP, Brazil-
Formato: dc.format53-56-
Idioma: dc.languageen-
Publicador: dc.publisherCopernicus Gesellschaft Mbh-
Relação: dc.relationIsprs Hannover Workshop 2013-
???dc.source???: dc.sourceWeb of Science-
Palavras-chave: dc.subjectArtificial Neural Network-
Palavras-chave: dc.subjectRGB Aerial Image-
Palavras-chave: dc.subjectNormalized Digital Surface Model-
Palavras-chave: dc.subjectLaser Pulse Intensity Image-
Título: dc.titleROAD REGION DETECTION IN URBAN AREAS COMBINING HIGH-RESOLUTION RGB IMAGE AND LASER SCANNING DATA IN A CLASSIFICATION FRAMEWORK-
Aparece nas coleções:Repositório Institucional - Unesp

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