• DocumentCode
    3377158
  • Title

    Fusion of LiDAR data and orthoimage for automatic building reconstruction

  • Author

    Li, Hui-Ying ; Chen, Sheng-Bo ; Wang, Zhi ; Li, Wen-Hui

  • Author_Institution
    Coll. of Comput. Sci. & Technol., Jilin Univ., Changchun, China
  • fYear
    2010
  • fDate
    25-30 July 2010
  • Firstpage
    1194
  • Lastpage
    1197
  • Abstract
    Recent years LiDAR data is widely used for constructing 3D terrain models which provide realistic impressions of the urban environment. This paper presents an automatic method for extracting 3D building model by the fusion of LiDAR data, 2D building outlines and orthoimage. 2D building outlines is generated by classifying the LiDAR data to terrain and off-terrain points, then detecting building edges points through step-structure detector and generalization. 2D building boundaries are added on the DSM (Digital Surface Model) from LiDAR data to generate complex buildings by using CSG with the Boolean operations of union, intersection and differences.
  • Keywords
    Boolean functions; airborne radar; edge detection; optical radar; sensor fusion; solid modelling; structural engineering; terrain mapping; 2D building boundary; 2D building outlines; 3D building model; 3D terrain models; Boolean operations; CSG; DSM; LiDAR data; Lidar data fusion; automatic building reconstruction; building edges points detection; complex buildings; digital surface model; orthoimage; realistic impressions; step-structure detector; urban environment; Buildings; Data mining; Data models; Image edge detection; Image reconstruction; Laser radar; Three dimensional displays; Airborne LiDAR; boundary extraction; building reconstruction; step-structure detector;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
  • Conference_Location
    Honolulu, HI
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4244-9565-8
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2010.5654163
  • Filename
    5654163