• DocumentCode
    315068
  • Title

    Derivative seismic processing method for GPR data

  • Author

    Haizhong, Yu ; Xiaojian, Ying

  • Author_Institution
    Shenzhen Dasheng Adv. Sci. & Tech. Eng. Co. Ltd., China
  • Volume
    1
  • fYear
    1997
  • fDate
    3-8 Aug 1997
  • Firstpage
    145
  • Abstract
    Ground-penetrating radar (GPR) is a newly developed geophysics method. It belongs to one of the electromagnetic methods. In a broad sense, it is also a remote sensing technique, but the processing method for GPR data is quite different with the one for remote sensing data. The processing method is the key to develop the technique, so it is an urgent task to develop GPR processing methods at the current time. Based on the close similarity between ground-penetrating radar and the reflection seismic method, this paper presents the derivative seismic processing methods for GPR data, including the CMP processing method, two dimensional filtering, migration and simulation techniques. The principle and an algorithm are given. The derivative seismic processing methods are shown to be very effective for GPR data. GPR is a very convenient, rapid, precise way to get underground information
  • Keywords
    geophysical signal processing; geophysical techniques; radar applications; radar imaging; radar signal processing; remote sensing by radar; terrestrial electricity; CMP; GPR; buried object detection; common midpoint method; derivative seismic processing method; electromagnetic method; geoelectric method; geology; geophysical measurement technique; ground penetrating radar; migration; radar remote sensing; signal processing method; subsurface structure; terrain mapping; terrestrial electricity; two dimensional filtering; Application software; Concrete; Filtering; Geophysics; Ground penetrating radar; Hardware; Kinematics; Low pass filters; Reflection; Remote sensing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing, 1997. IGARSS '97. Remote Sensing - A Scientific Vision for Sustainable Development., 1997 IEEE International
  • Print_ISBN
    0-7803-3836-7
  • Type

    conf

  • DOI
    10.1109/IGARSS.1997.615823
  • Filename
    615823