• DocumentCode
    1366782
  • Title

    A semiautomatic method for assigning elevation in contour maps

  • Author

    Maia, Marco A G M ; Xavier, Átila L F

  • Author_Institution
    Telecommun. Studies Center, Pontifical Catholic Univ., Rio de Janeiro, Brazil
  • Volume
    8
  • Issue
    4
  • fYear
    1996
  • fDate
    8/1/1996 12:00:00 AM
  • Firstpage
    596
  • Lastpage
    603
  • Abstract
    Assigning contour elevations during digitalization process of topographic charts can be a very time-consuming task and liable to human errors. The method here presented for this purpose is based upon the integration of three elements: the definition of nesting tree, a formal set of rules linking neighboring contour elevations and the concept of ambiguity interval. The information provided by the chart control points and its propagation on the nesting tree for ambiguity interval update allows to automatically evaluate a considerable number of elevations, typically 60%. The remaining curves are assessed with the help of an operator where an strategy is employed to minimize human interaction. At the end of the process, the typical figure describing the number of elevations requested by the system is around 20%
  • Keywords
    cartography; graph theory; knowledge based systems; tree data structures; ambiguity interval; chart control points; contour elevations; contour maps; nesting tree; semiautomatic method; Automatic control; Graph theory; Humans; Image processing; Information management; Joining processes; Proposals; Surfaces; Testing; Tree graphs;
  • fLanguage
    English
  • Journal_Title
    Knowledge and Data Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1041-4347
  • Type

    jour

  • DOI
    10.1109/69.536252
  • Filename
    536252