3D ROAD EXTRACTION USING A STEREO PAIR OF AERIAL IMAGES

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MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Estadual Paulista (Unesp)-
Autor(es): dc.creatorDal Poz, A. P. [UNESP]-
Autor(es): dc.creatorSilva, J. F. C. [UNESP]-
Autor(es): dc.creatorGallis, R. A. B. [UNESP]-
Autor(es): dc.creatorISPRS-
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.issued2010-01-01-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/196082-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/196082-
Descrição: dc.descriptionRoad extraction from aerial and satellite imagery is of fundamental importance in the context of spatial data capturing and updating for GIS (Geographic Information System) applications. This article proposes a semiautomatic methodology for 3D road extraction from digital images. The dynamic programming (DP) algorithm is used to carry out the optimisation process in the object-space, instead of doing it in the image-space such as the DP traditional methodologies. This means that road centrelines are directly traced in the object-space, implying that a mathematical relationship is necessary to connect road points in object-and image-space. This allows the integration of radiometric information from images into the associate energy function. Although the methodology can operate in different modes (mono-plotting or stereo-plotting), and with several image types, including multisensor images, this paper presents details of our stereo-based approach involving a stereo pair of aerial images. In order to initialise the extraction procedure, a few seed points are necessary to be supplied in the object-space to sparsely and coarsely describe the roads. We visually identify these points on the stereo images and project them onto the object-space. Each road is extracted separately by an iterative scheme based on the DP optimisation algorithm. Each iteration cycle is carried out by means of a polyline densification followed by a DP optimisation. The polyline densification is carried out by linearly interpolating middle points between every adjacent vertices of the current polyline. Preliminary results have shown that the proposed methodology works properly.-
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.format4-
Idioma: dc.languageen-
Publicador: dc.publisherCopernicus Gesellschaft Mbh-
Relação: dc.relation2010 Canadian Geomatics Conference And Symposium Of Commission I, Isprs Convergence In Geomatics - Shaping Canada's Competitive Landscape-
???dc.source???: dc.sourceWeb of Science-
Palavras-chave: dc.subjectDynamic Programming-
Palavras-chave: dc.subjectRoad Model-
Palavras-chave: dc.subjectFeature Extraction-
Palavras-chave: dc.subjectRoad Extraction-
Palavras-chave: dc.subjectAerial Images-
Título: dc.title3D ROAD EXTRACTION USING A STEREO PAIR OF AERIAL IMAGES-
Aparece nas coleções:Repositório Institucional - Unesp

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