• DocumentCode
    2912114
  • Title

    An Algorithm for Real-Time Fast Walkthrough of Massive Terrain

  • Author

    Jin, Hailiang ; Liu, Huijie

  • Author_Institution
    Key Lab. of Mine Spatial Inf. Technol., Henan Polytech. Univ., Jiaozuo, China
  • Volume
    1
  • fYear
    2009
  • fDate
    4-5 July 2009
  • Firstpage
    661
  • Lastpage
    664
  • Abstract
    Terrain walkthrough is a hot point in GIS, virtual reality and military simulation fields. Large scale terrain algorithm is used to load data partly into the memory, and then simplify terrain to speed up drawing-rate. This paper presents an algorithm which blocks the terrain, uses back face culling and modified viewpoint error equation to construct Level of Detail (LOD), and then uses a new horizon culling method based on screen error bounding box. This algorithm has a fast drawing-rate. Besides, memory mapping file technique to load DEM data is used to make the algorithm have high performance data process ability on massive terrain data.
  • Keywords
    data visualisation; digital elevation models; geographic information systems; virtual reality; DEM data; back face culling; digital elevation model; geographic information system; horizon culling method; large scale terrain algorithm; level of detail; massive terrain; memory mapping file technique; military simulation fields; modified viewpoint error equation; real-time fast walkthrough; screen error bounding box; terrain visualization; terrain walkthrough; virtual reality; Displays; Geographic Information Systems; Grid computing; Large-scale systems; Layout; Mesh generation; Military computing; Scheduling; Terrain mapping; Virtual reality; Bounding Box; Horizon Culling; Level of Detail (LOD); Memory Mapping; Terrain Walkthrough;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Environmental Science and Information Application Technology, 2009. ESIAT 2009. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-0-7695-3682-8
  • Type

    conf

  • DOI
    10.1109/ESIAT.2009.35
  • Filename
    5200208