• DocumentCode
    653402
  • Title

    Reconstruction of 3D Maps for 2D Satellite Images

  • Author

    Lianzhang Zhu ; Xuexing Zheng ; Pengfei Li

  • Author_Institution
    Coll. of Comput. & Commun. Eng., China Univ. of Pet., Qingdao, China
  • fYear
    2013
  • fDate
    20-23 Aug. 2013
  • Firstpage
    1644
  • Lastpage
    1649
  • Abstract
    In this paper, we will propose a new approach of building 3D maps from 2D satellite map images. Firstly, we get a 2D satellite map image from Google Earth. Then we use OpenCV to extract the elements´ boundaries automatically on the 2D map image. Next, we correct the automatic extraction result and set the information of the elements on the map manually. After extraction and setting is finished, we will get the data (elements´ boundaries, types, locations, textures, heights) of the elements on the 2D map. With these data, we can establish the virtual 3D digital map of the scenes. At the same time, we will add textures to the 3D models in the 3D scenes. To be more user-friendly, the system provides data gloves based roaming and can synchronize the 3D scenes with Android clients.
  • Keywords
    cartography; geophysical image processing; image reconstruction; image texture; 2D satellite images; 3D map reconstruction; 3D scene; Android client; Google Earth; OpenCV; automatic extraction; element boundary; element height; element location; element type; image texture; Buildings; Educational institutions; Load modeling; Rendering (computer graphics); Satellites; Solid modeling; Three-dimensional displays; 2D map; 3D map; roaming; satellite image;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Green Computing and Communications (GreenCom), 2013 IEEE and Internet of Things (iThings/CPSCom), IEEE International Conference on and IEEE Cyber, Physical and Social Computing
  • Conference_Location
    Beijing
  • Type

    conf

  • DOI
    10.1109/GreenCom-iThings-CPSCom.2013.298
  • Filename
    6682310