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Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/6715
Title: 
Extração semi-automática de rodovia baseada em um par estéreo de imagens aéreas e em otimização por programação dinâmica no espaço-objeto
Other Titles: 
Semiautomatic road extraction based on a stereopar of aerial images and object-space dynamic programming optimization
Author(s): 
Institution: 
Universidade Estadual Paulista (UNESP)
ISSN: 
1413-4853
Abstract: 
This article proposes a method for 3D road extraction from a stereopair of aerial images. The dynamic programming (DP) algorithm is used to carry out the optimization process in the object-space, instead of usually doing it in the image-space such as the DP traditional methodologies. This means that road centerlines 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 mathematical road model. As the approach depends on an initial approximation of each road, it is necessary a few seed points to coarsely describe the road. Usually, the proposed method allows good results to be obtained, but large anomalies along the road can disturb its performance. Therefore, the method can be used for practical application, although it is expected some kind of local manual edition of the extracted road centerline.
Issue Date: 
1-Jan-2010
Citation: 
Boletim de Ciências Geodesicas. Curitiba Pr: Universidade Federal do Paraná (UFPR), Centro Politecnico, v. 16, n. 2, p. 189-209, 2010.
Time Duration: 
189-209
Publisher: 
Universidade Federal do Paraná (UFPR), Centro Politecnico
Keywords: 
  • Dynamic programming
  • road model
  • feature extraction
  • road extraction
  • aerial images
Source: 
http://ojs.c3sl.ufpr.br/ojs2/index.php/bcg/article/view/17681
URI: 
http://hdl.handle.net/11449/6715
Access Rights: 
Acesso aberto
Type: 
outro
Source:
http://repositorio.unesp.br/handle/11449/6715
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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