• DocumentCode
    1879586
  • Title

    Landmine detection using the discrete spectrum of relaxation frequencies

  • Author

    Wei, Mu-Hsin ; Scott, Waymond R., Jr. ; McClellan, James H.

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
  • fYear
    2011
  • fDate
    24-29 July 2011
  • Firstpage
    834
  • Lastpage
    837
  • Abstract
    Several landmine detection techniques using electromagnetic induction (EMI) sensors have been proposed in the past decade. In this paper, we propose a class of detection techniques based on the discrete spectrum of relaxation frequencies (DSRF). Two DSRF detection methods are demonstrated: one using the support vector machine and one using the k-nearest neighbor method. A soil model is also proposed to identify EMI response from the magnetic properties of the soil. A detection framework is suggested to incorporate the soil model and the classifier. The robustness of landmine detection using the DSRF is demonstrated.
  • Keywords
    electromagnetic induction; landmine detection; pattern classification; soil; support vector machines; DSRF; EMI sensors; discrete spectrum of relaxation frequencies; electromagnetic induction; k-nearest neighbor method; landmine detection techniques; soil model; support vector machine; Electromagnetic induction; Electromagnetic interference; Kernel; Landmine detection; Sensors; Soil; Support vector machines; Electromagnetic induction (EMI); detection; discrete spectrum of relaxation frequencies (DSRF); support vector machine;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International
  • Conference_Location
    Vancouver, BC
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4577-1003-2
  • Type

    conf

  • DOI
    10.1109/IGARSS.2011.6049260
  • Filename
    6049260