• DocumentCode
    1982050
  • Title

    A Revised MCU-Assisted GPR Site Sampling Method and Its Application in Karst Development Detection

  • Author

    Rong-guan Zhou ; Xingyu Zhou ; Liangyu He

  • Author_Institution
    Geotech. Eng. Inst., Nanjing Hydraulic Res. Inst., Nanjing, China
  • Volume
    1
  • fYear
    2013
  • fDate
    28-29 Oct. 2013
  • Firstpage
    7
  • Lastpage
    10
  • Abstract
    In modern geophysical prospecting, GPR has been more and more widely used due to its accuracy and high efficiency. However, different site conditions and a rather strict demand for equal-distance reminding actually set limits on the traditional application method of GPR. In solving this problem, a new MCU-controlled equal-distance reminding device has been designed to form a new site sampling platform. With the reduction of the difficulties in equal-distance reminding as well as technical distortions, a revised more practical MCU-assisted GPR site sampling method has formed. The practical application case proves this method more efficient. Compared to the traditional method, the new one improves the sampling accuracy, diminishes positioning inaccuracy from movement and reduces limits set by the environment. In all, this new sampling method eases the process of detecting underground karst caves and improves the accuracy.
  • Keywords
    geophysical image processing; geophysical prospecting; ground penetrating radar; image sampling; radar imaging; MCU-assisted GPR site sampling method; MCU-controlled equal-distance reminding device; geophysical prospecting; karst development detection; site condition; site sampling platform; technical distortion; underground karst cave detection; Ground penetrating radar; Image edge detection; Manuals; Radar imaging; Sampling methods; Seismic measurements; GPR; MCU; equal-distance; reminding; site sampling method;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Design (ISCID), 2013 Sixth International Symposium on
  • Conference_Location
    Hangzhou
  • Type

    conf

  • DOI
    10.1109/ISCID.2013.9
  • Filename
    6804773