• DocumentCode
    2322955
  • Title

    Airborne laser scanner point clouds strip adjustment aided by photogrammetry

  • Author

    Li, Guoyuan ; Su, Guozhong

  • Author_Institution
    Grad. Univ., Chinese Acad. of Sci., Beijing
  • fYear
    2009
  • fDate
    20-22 May 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Airborne LIDAR has obtained more and more attention, especially in the field of 3-D city modeling, surveying and mapping. Laser Scanner Point Clouds strip adjustment plays a very important role in the processing and application of Airborne LIDAR. In this paper, some conventional algorithms of the airborne laser scanner point clouds strip adjustment are reviewed and contrasted, then a new method using the photogrammetric images and relative information such as the EOP (exterior orientation parameters) and IOP (interior orientation parameters)and VLL (Vertical Line Locus) based on object space matching method is introduced. A certain dataset which contains two strips of laser point clouds and the same region photogrammetric images is used to implement the algorithm. The result of experiment validates this method and future work and research direction is discussed.
  • Keywords
    airborne radar; geophysical techniques; optical radar; photogrammetry; remote sensing by laser beam; 3D city mapping; 3D city modeling; 3D city surveying; Laser Scanner Point Clouds; Vertical Line Locus; airborne LIDAR; conventional algorithms; exterior orientation parameters; interior orientation parameters; object space matching method; photogrammetric images; strip adjustment; Cities and towns; Clouds; Equations; Error correction; Iterative closest point algorithm; Laser modes; Laser radar; Laser theory; Remote sensing; Strips;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Urban Remote Sensing Event, 2009 Joint
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-3460-2
  • Electronic_ISBN
    978-1-4244-3461-9
  • Type

    conf

  • DOI
    10.1109/URS.2009.5137726
  • Filename
    5137726