• DocumentCode
    616681
  • Title

    A real-time method for DSM generation from airborne LiDAR data

  • Author

    Deming Kong ; Lijun Xu ; Xiaolu Li ; Shuyang Li

  • Author_Institution
    State Key Lab. of Inertial Sci. & Technol., Beihang Univ., Beijing, China
  • fYear
    2013
  • fDate
    6-9 May 2013
  • Firstpage
    377
  • Lastpage
    380
  • Abstract
    This paper presents a new real-time method for the DSM (Digital Surface Model) generation from the airborne LiDAR (Light Detection And Ranging) data. In this method, the positions and elevation values of the laser footprints in each obtained scanning line are firstly transformed into a regular discrete array by the operations of linearization and gridding. After that, mathematical morphology is implemented to the array to obtain the digital models of the ground and objects on ground surface. In the airborne LiDAR scanning process, while the scanning lines are continually obtained, the digital models in the scanning lines are real-timely generated and displayed. Finally, when the scanning process is completed, the DSM of the whole acquired point cloud is attained by combining the digital models in all scanning lines. The proposed method is validated by using real airborne LiDAR data.
  • Keywords
    airborne radar; mathematical morphology; optical radar; real-time systems; DSM generation; airborne LiDAR data; airborne LiDAR scanning process; digital models; digital surface model; ground surface; laser footprints; light detection and ranging; mathematical morphology; point cloud; real-time method; regular discrete array; scanning line; Arrays; Atmospheric modeling; Laser radar; Lasers; Mathematical model; Morphology; Surface morphology; DSM (Digital Surface Model) generation; Real-time LiDAR (Light Detection And Ranging) data processing; mathematical morphology; terrain detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Instrumentation and Measurement Technology Conference (I2MTC), 2013 IEEE International
  • Conference_Location
    Minneapolis, MN
  • ISSN
    1091-5281
  • Print_ISBN
    978-1-4673-4621-4
  • Type

    conf

  • DOI
    10.1109/I2MTC.2013.6555443
  • Filename
    6555443