• DocumentCode
    3471762
  • Title

    Underground imaging of irregular terrains using RF Tomography

  • Author

    Monte, Lorenzo Lo ; Erricolo, Danilo ; Soldovieri, Francesco ; Wicks, Michael C.

  • Author_Institution
    Navy & Air Force Sect., Gen. Dynamics Inf. Technol., Dayton, OH, USA
  • fYear
    2009
  • fDate
    13-16 Dec. 2009
  • Firstpage
    229
  • Lastpage
    232
  • Abstract
    Detection, localization and approximate imaging of tunnels, caches, underground networks and facilities is the objective of this work. To achieve this goal, a set of transmitters and receivers are deployed arbitrarily above the area of regard. Using the principles of RF tomography, 3D images of the below-ground scene are provided. In this paper, the surveilled region is assumed to be deep and large, and its surface does not need to be flat. Due to the irregularity of the surface, a numerical Green´s function for the problem needs to be computed and inserted into the forward model of RF tomography.
  • Keywords
    Green´s function methods; geophysical image processing; object detection; remote sensing; tomography; 3D images; RF tomography; cache localization; numerical Green´s function; receivers; transmitters; tunnel detection; underground network imaging localization; Electromagnetic scattering; Force sensors; Green´s function methods; Layout; Military computing; Power engineering and energy; Radio frequency; Tomography; Transmitters; USA Councils;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2009 3rd IEEE International Workshop on
  • Conference_Location
    Aruba, Dutch Antilles
  • Print_ISBN
    978-1-4244-5179-1
  • Electronic_ISBN
    978-1-4244-5180-7
  • Type

    conf

  • DOI
    10.1109/CAMSAP.2009.5413292
  • Filename
    5413292