A Thinning-Based Method for Extracting Peri-Urban Road Network from Panchromatic Images

  • V. Karathanassi
  • C. Iossifidis
  • D. Rokos
Part of the International Series on Microprocessor-Based and Intelligent Systems Engineering book series (ISCA, volume 21)


The extraction of linear elements from remotely sensed imagery is a quite complex process. The extraction, for example, of the road network requires also its recognition which is not an easy operation, because road segments are not represented by a constant range of digital numbers in the input images, the shapes of the roads are illdefined, and pixels with the same digital number often represent land cover types which are not related to roads. That happens because in remotely sensed images, certain types of land cover, e.g. buildings, have similar spectral characteristics with roads and, thus, are indistinguishable, at a pre-processing stage, from the roads.


Road Network Binary Image Land Cover Type Road Segment Thresholding Algorithm 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer Science+Business Media Dordrecht 1999

Authors and Affiliations

  • V. Karathanassi
    • 1
  • C. Iossifidis
    • 1
  • D. Rokos
    • 1
  1. 1.National Technical University of AthensLaboratory of Remote SensingAthensGreece

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