• DocumentCode
    2856370
  • Title

    Automatic 3D Roof Reconstruction using Digital Cadastral Map, Architectural Knowledge and an Aerial Image

  • Author

    Bertan, Emre ; Gökmen, Muhittin ; Moreau, Guillaume

  • Author_Institution
    Inst. of Inf., Istanbul Tech. Univ., Istanbul
  • fYear
    2006
  • fDate
    July 31 2006-Aug. 4 2006
  • Firstpage
    1415
  • Lastpage
    1418
  • Abstract
    In this paper we present a low cost approach to automated reconstruction of 3D roof models which can be used for generation of a realistic 3D environment of an urban area in a virtual reality application. The key aspect of the method which differs from the other studies is that only one aerial view is used and architectural knowledge is introduced to form 3D roof models of buildings. First buildings in the aerial image are located using footprints of buildings in the digital cadastre map and roof image of each building is retrieved from the original image. The corresponding roof lines of the buildings are obtained by processing each roof image separately. Finally by merging 2D roof model and architectural knowledge about the building such as the building type and possible roof slope angles, 3D roof models are created.
  • Keywords
    building; geophysical signal processing; image reconstruction; photogrammetry; remote sensing; virtual reality; 3D roof model; aerial image; architectural knowledge; automatic 3D roof reconstruction; buildings; digital cadastral map; realistic 3D environment; roof slope angle; urban area; virtual reality; Buildings; Cities and towns; Computer vision; Costs; Geographic Information Systems; Image reconstruction; Infrared detectors; Surface reconstruction; Urban areas; Vegetation mapping;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2006. IGARSS 2006. IEEE International Conference on
  • Conference_Location
    Denver, CO
  • Print_ISBN
    0-7803-9510-7
  • Type

    conf

  • DOI
    10.1109/IGARSS.2006.365
  • Filename
    4241512