• DocumentCode
    2848949
  • Title

    Research on Real-Time Visualization of Massive Data Oriented to Digital Earth

  • Author

    Wang Yuzhi ; Zhang Liguo ; Sun Jiuhu ; Xiang Hengmao

  • Author_Institution
    Key Lab. of Marine Geol. & Environ., Chinese Acad. of Sci., Qingdao, China
  • fYear
    2009
  • fDate
    19-20 Dec. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Recently, the digital earth has developed from the laboratory to the society. With the increase of the data volume, the software is required to provide more functions. The organization and management of massive data is the key for the real-visualization, which determine the software function. The techniques of real-time visualization of massive data oriented digital earth are explored, including data organization and realtime rendering. In this paper, the massive data is organized as multi-solution tile-pyramid model which combine the algorithm of LOD and linear quarter-tree index. Then, the management of massive data for dynamic scene of 3D visualization with large area is discussed, which use the target-tile quick search algorithm and data prefetching strategy. At last, an example is used to prove that this method can realize the real-time visualization and interoperation of massive topography data and improve the function of digital earth software.
  • Keywords
    data visualisation; geographic information systems; storage management; data organization; data prefetching strategy; digital earth software; linear quarter-tree index; massive data management; massive data visualization; massive topography data interoperation; multisolution tile-pyramid model; software function; target-tile quick search algorithm; Data visualization; Earth; Geology; Geoscience; Large-scale systems; Layout; Prefetching; Sun; Surfaces; Tiles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Engineering and Computer Science, 2009. ICIECS 2009. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-4994-1
  • Type

    conf

  • DOI
    10.1109/ICIECS.2009.5365255
  • Filename
    5365255