• DocumentCode
    511244
  • Title

    Research on Database Storage of Large-Scale Terrestrial LIDAR Data

  • Author

    Ming, Guo ; Yanmin, Wang ; Youshan, Zhao ; Junzhao, Zhou

  • Author_Institution
    State Key Lab. for Inf. Eng. in Surveying, Mapping & Remote Sensing (LIESMARS), Wuhan, China
  • Volume
    2
  • fYear
    2009
  • fDate
    25-27 Dec. 2009
  • Firstpage
    19
  • Lastpage
    23
  • Abstract
    Generally speaking, a large number of point-cloud data will be generated in the process of collecting 3D structure information of large building using the 3D LIDAR technology. Based on analyzing raw files content and form 3D laser scanning point-cloud data is reorganized and a storage mean of large-scale point-cloud data which is by data stream means is presented in this paper. The data is stored in Oracle 11g database in the SecureFile (BLOB) form. ODP.NET is selected as the database access interface, C# as experimental programming language. Database design model and stored procedure of large-scale 3D laser scanning point-cloud data is introduced. The study gives a new idea and research direction for applications and developments based on large-scale 3D laser scanning data.
  • Keywords
    data acquisition; geographic information systems; optical radar; relational databases; remote sensing by laser beam; visual databases; 3D LIDAR technology; 3D laser scanning data; 3D structure information; C#; ODP.NET; ORACLE; SecureFile form; data stream; database access interface; database storage; experimental programming language; large-scale point cloud data; large-scale terrestrial data; light detection and ranging; Application software; Buildings; Computer applications; Data engineering; Laboratories; Large-scale systems; Laser modes; Laser radar; Remote sensing; Spatial databases; 3-D laser scanning; BLOB; LIDAR; ODP.NET; ORACLE 11g; point-cloud;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science-Technology and Applications, 2009. IFCSTA '09. International Forum on
  • Conference_Location
    Chongqing
  • Print_ISBN
    978-0-7695-3930-0
  • Electronic_ISBN
    978-1-4244-5423-5
  • Type

    conf

  • DOI
    10.1109/IFCSTA.2009.127
  • Filename
    5385013