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Fast Road Network Extraction from Remotely Sensed Images

  • Conference paper
Advanced Concepts for Intelligent Vision Systems (ACIVS 2013)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 8192))

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Abstract

This paper addresses the problem of fast, unsupervised road network extraction from remotely sensed images. We develop an approach that employs a fixed-grid, localized Radon transform to extract a redundant set of line segment candidates. The road network structure is then extracted by introducing interactions between neighbouring segments in addition to a data-fit term, based on the Bhattacharyya distance. The final configuration is obtained using simulated annealing via a Markov chain Monte Carlo iterative procedure. The experiments demonstrate a fast and accurate road network extraction on high resolution optical images of semi-urbanized zones, which is further supported by comparisons with several benchmark techniques.

The original version of this chapter was revised: The copyright line was incorrect. This has been corrected. The Erratum to this chapter is available at DOI: 10.1007/978-3-319-02895-8_64

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Author information

Authors and Affiliations

  1. Dept. of Statistical Science, University College London, London, WC1E 6BT, UK

    Vladimir A. Krylov & James D. B. Nelson

Authors
  1. Vladimir A. Krylov
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  2. James D. B. Nelson
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Editor information

Editors and Affiliations

  1. DGA, 7-9 rue des mathurins, 92 221, Bagneux, France

    Jacques Blanc-Talon

  2. Institute of Control and Information Engineering, Poznań University of Technology, Piotrowo 3A, 60-965, Poznań, Poland

    Andrzej Kasinski

  3. Telecommunications and Information Processing (TELIN), Ghent University, St.-Pietersnieuwstraat 41, 9000, Ghent, Belgium

    Wilfried Philips

  4. CSIRO ICT Centre, Epping, Po Box 76, 1710, Sydney, NSW, Australia

    Dan Popescu

  5. University of Antwerp, Universiteitsplein 1, Building N., 2610, Wilrijk, Antwerp, Belgium

    Paul Scheunders

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Krylov, V.A., Nelson, J.D.B. (2013). Fast Road Network Extraction from Remotely Sensed Images. In: Blanc-Talon, J., Kasinski, A., Philips, W., Popescu, D., Scheunders, P. (eds) Advanced Concepts for Intelligent Vision Systems. ACIVS 2013. Lecture Notes in Computer Science, vol 8192. Springer, Cham. https://doi.org/10.1007/978-3-319-02895-8_21

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  • DOI: https://doi.org/10.1007/978-3-319-02895-8_21

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-02894-1

  • Online ISBN: 978-3-319-02895-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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