• DocumentCode
    153085
  • Title

    Tubularity tracking based automatic road detection from sattelite images

  • Author

    Gurbuz, Y.Z. ; Alatan, A. Aydin

  • Author_Institution
    Elektrik ve Elektron. Muhendisligi Bolumu, Orta Dogu Teknik Univ., Ankara, Turkey
  • fYear
    2014
  • fDate
    23-25 April 2014
  • Firstpage
    2190
  • Lastpage
    2193
  • Abstract
    In this paper, a novel approach based on tubularity tracking and graph cuts for road detection from satellites images is presented. The most important feature of the proposed method is its local peak detection filter. Unlike the tubularity based road or road like curvilinear structure detection methods presented in the literature, proposed method samples local peaks from tubularity image by tracking the peak points based on Bayesian filtering in order to construct graphs and introduces no significant computational complexity.
  • Keywords
    Bayes methods; filtering theory; geophysical image processing; geophysics computing; image recognition; remote sensing; roads; Bayesian filtering; automatic road detection; computational complexity; curvilinear structure detection methods; graph cuts; local peak detection filter; sattelite images; tubularity image; tubularity tracking; Art; Conferences; Filtering; Roads; Robots; Semantics; Signal processing; automatic; remote sensing; road extraction; tracking; tubularity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Communications Applications Conference (SIU), 2014 22nd
  • Conference_Location
    Trabzon
  • Type

    conf

  • DOI
    10.1109/SIU.2014.6830698
  • Filename
    6830698