• DocumentCode
    2000072
  • Title

    Automated point feature label placement using backtracking algorithm with an adjacent graph

  • Author

    Chen, Youliang ; Wang, Zhaoru ; Liu, Xiaosheng

  • Author_Institution
    Sch. of Archit. & Surveying Eng., Jiangxi Univ. of Sci. & Technol., Ganzhou, China
  • fYear
    2010
  • fDate
    18-20 June 2010
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Map labels used to identify various features and objects are a fundamental part of producing good graphs and maps. It is essential that map labels be placed in a clear and unobscured manner. Label placement is a fundamental part of producing good maps and essential item to communicate spatial information. There are three types of features that need to be labeled: point features, linear features and area features. Point label placement is a challenging problem in geoinformatics and automated cartography. In this paper we are concerned with the placement of labels for point features. Point feature label placement generally considers calculating candidate positions and handling the overlapping, as the overlapping occurs only near the points and labels, in our algorithm, we firstly detect the neighboring points using Delaunay triangulation, and build an adjacent graph, then guide the point feature labels placement using backtracking with an adjacent graph.
  • Keywords
    cartography; geographic information systems; graph theory; mesh generation; Delaunay triangulation; adjacent graph; area features; automated cartography; automated point feature label placement; backtracking algorithm; geoinformatics; linear features; map labels; point features; Data structures; Educational institutions; Feature extraction; Gallium nitride; Geographic Information Systems; Labeling; Search methods; Delaunay triangulation; adjacent graph; backtracking; point feature label placement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoinformatics, 2010 18th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-7301-4
  • Type

    conf

  • DOI
    10.1109/GEOINFORMATICS.2010.5567901
  • Filename
    5567901