• DocumentCode
    2778350
  • Title

    A scheme for road extraction in rural areas and its evaluation

  • Author

    Hinz, S. ; Wiedemann, C. ; Baumgartner, A.

  • Author_Institution
    Chair for Photogrammetry & Remote Sensing, Tech. Univ. Munchen, Germany
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    134
  • Lastpage
    139
  • Abstract
    We propose a scheme for road extraction in rural areas that integrates three different modules with specific strengths. The first module employs local grouping and uses multiple scales and contest to reliably extract most parts of the road network. To connect these parts, the second module exploits the network characteristics of roads for global grouping. The third module completes the network based on an analysis of path lengths within and between connected components of the network. An evaluation of the results shows that the system benefits from the integration of different types of knowledge within the road extraction scheme
  • Keywords
    feature extraction; geographic information systems; image recognition; global grouping; local grouping; road extraction; rural areas; Automation; Data acquisition; Data mining; Digital images; Fuses; Geographic Information Systems; Global communication; Remote sensing; Roads; Satellites;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Applications of Computer Vision, 2000, Fifth IEEE Workshop on.
  • Conference_Location
    Palm Springs, CA
  • Print_ISBN
    0-7695-0813-8
  • Type

    conf

  • DOI
    10.1109/WACV.2000.895414
  • Filename
    895414