A NEW APPROACH FOR URBAN ROADS DETECTION USING LASER DATA AND AERIAL DIGITAL IMAGES

Authors

  • Francisco Assis da Silva University of Western São Paulo (Unoeste), Presidente Prudente
  • Anderson Akio Gohara University of Western São Paulo (Unoeste), Presidente Prudente
  • Mário Augusto Pazoti University of Western São Paulo (Unoeste), Presidente Prudente
  • Danillo Roberto Pereira University of Western São Paulo (Unoeste), Presidente Prudente
  • Almir Olivette Artero São Paulo State University (Unesp) Presidente Prudente
  • Marco Antonio Piteri São Paulo State University (Unesp) Presidente Prudente

DOI:

https://doi.org/10.4090/juee.2016.v10n1.83-97

Keywords:

Digital Terrain Model, Urban Roads, Laser Data, Feature Detection

Abstract

The automatic feature extraction from digital aerial images is not a trivial task mainly due to occlusion problems, shadows and different viewpoints. To obtain an improved feature extraction we used laser data, which have additional information such as height and material type of the surface. In this paper we performed the combination of digital image and laser data in order to improve the results of automatic extraction of urban roads. Initially, the urban roads were detected from the response of laser information; in the sequence we applied two different approaches to connect the disconnected road segments. The results were very promising, with sensitivity rate of 92%.

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Author Biographies

Francisco Assis da Silva, University of Western São Paulo (Unoeste), Presidente Prudente

Department of Computer Science

Anderson Akio Gohara, University of Western São Paulo (Unoeste), Presidente Prudente

Department of Computer Science

Mário Augusto Pazoti, University of Western São Paulo (Unoeste), Presidente Prudente

Department of Computer Science

Danillo Roberto Pereira, University of Western São Paulo (Unoeste), Presidente Prudente

Department of Computer Science

Almir Olivette Artero, São Paulo State University (Unesp) Presidente Prudente

Faculty of Science and Technology

Marco Antonio Piteri, São Paulo State University (Unesp) Presidente Prudente

Faculty of Science and Technology

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Published

2016-08-23

Issue

Vol. 10 No. 1 (2016)

Section

Articles

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