• DocumentCode
    1861385
  • Title

    3D GIS Modeling of Virtual High-Speed Railway Scene Based on ArcGlobe

  • Author

    Zhu Jun ; Zhang Ali ; Yin Lingzhi ; Qin Chuan ; Wang Jinhong ; Liu Mingwei

  • Author_Institution
    Fac. of Geosci. & Environ. Eng., Southwest Jiaotong Univ., Chengdu, China
  • fYear
    2013
  • fDate
    26-28 July 2013
  • Firstpage
    811
  • Lastpage
    815
  • Abstract
    To meet the requirements for the visualization and management of high-speed railways, this paper focuses how to used three-dimensional modeling methods in Arc Globe for rapidly constructing a virtual globe-based interactive service system. The 3D GIS modeling system architecture is firstly described. Meantime some key technologies such as the modeling flowchart, the 3D symbolized modeling method and the scene optimizing technology are discussed in detail. Finally a prototype system is implemented for modeling experiments on a case study region. The experimental results show that the scheme addressed in this paper can efficiently clarify various relations between scenes object entities. It supports fast organization and the modeling of the virtual high-speed railway scene.
  • Keywords
    data visualisation; geographic information systems; railways; solid modelling; 3D GIS modeling; 3D symbolized modeling method; ArcGlobe; high-speed railways management; high-speed railways visualization; modeling flowchart; prototype system; scene optimizing technology; three-dimensional modeling methods; virtual globe-based interactive service system; virtual high-speed railway scene; Analytical models; Computational modeling; Data models; Geographic information systems; Rail transportation; Solid modeling; Three-dimensional displays; 3D GIS modeling; ArcGlobe; high-speed railway; virtual scene;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Graphics (ICIG), 2013 Seventh International Conference on
  • Conference_Location
    Qingdao
  • Type

    conf

  • DOI
    10.1109/ICIG.2013.170
  • Filename
    6643782