• DocumentCode
    2705357
  • Title

    Topology constrain for river dimension-reducing generalization in land-use map

  • Author

    Jiang, Baode ; Xie, Zhong ; Wu, Xincai ; Wu, Liang ; Zhou, Lin

  • Author_Institution
    Fac. of Inf. Eng., China Univ. of Geosci., Wuhan, China
  • fYear
    2011
  • fDate
    24-26 June 2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Topological consistency which plays an important role in land-use map is a difficult problem for map auto generalization. This paper concentrates on the topological preserving of river´s dimension-reducing generalization in the land-use map. We propose a method for handling the conflicting constraints involved in generalizing a river polygon (double-line river) into a single-line river. It includes mainly two steps: First, extract the medial axis as a centerline for river polygon base on the constrained delaunay triangulation model. Then, expand the polygons´ boundaries which are shared by the double-line river´s bank towards the collapsed river´s centerlines base on the topology and computational geometry. Experiments are tested against land-use maps at 1:10k scale. The results illustrate that this method can keep the topological constraint well for river dimension-reducing generalization in land-use map.
  • Keywords
    computational geometry; geomorphology; geophysical techniques; geophysics computing; mesh generation; rivers; topology; constrained delaunay triangulation model; double line river; land use mapping; map autogeneralization; medial axis extraction; polygon boundary expansion; river dimension reducing generalization; river polygon generalisation; single line river; topological consistency; topological preservation; topology constraints; Algorithm design and analysis; Computational geometry; Feature extraction; Rivers; Skeleton; Spatial databases; Topology; dimension-reducing processing; land-use map; map auto generalization; topology constrain;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoinformatics, 2011 19th International Conference on
  • Conference_Location
    Shanghai
  • ISSN
    2161-024X
  • Print_ISBN
    978-1-61284-849-5
  • Type

    conf

  • DOI
    10.1109/GeoInformatics.2011.5980668
  • Filename
    5980668