• DocumentCode
    2012337
  • Title

    Microwave detection of unknown targets by using Support Vector Machines

  • Author

    Randazzo, Andrea ; Pastorino, Matteo

  • Author_Institution
    Dept. of Biophys. & Electron. Eng., Univ. of Genova, Opera
  • fYear
    2009
  • fDate
    11-12 May 2009
  • Firstpage
    141
  • Lastpage
    146
  • Abstract
    Microwave imaging techniques are becoming rather common methods for the detection of unknown targets, since they are in general able to directly provide information on the dielectric properties of the objects under test. However, in several applications only few parameters have to be detected (e.g., position, size, etc.) In this paper, a new approach for the determination of such parameters is presented. The proposed method is based on the use of support vector machines for approximating the unknown relations between the quantities of interest and the measured scattered fields. In this paper, the mathematical formulation of the approach is described and some preliminary numerical results are reported.
  • Keywords
    dielectric properties; microwave detectors; microwave imaging; object detection; regression analysis; support vector machines; dielectric property; microwave detection; microwave imaging technique; regression analysis; scattered field measurement; support vector machine; unknown target detection; Dielectrics; Electromagnetic scattering; Engine cylinders; Inverse problems; Microwave imaging; Microwave theory and techniques; Neural networks; Object detection; Shape; Support vector machines; Microwave imaging; component; regression; support vector machine;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Imaging Systems and Techniques, 2009. IST '09. IEEE International Workshop on
  • Conference_Location
    Shenzhen
  • Print_ISBN
    978-1-4244-3482-4
  • Electronic_ISBN
    978-1-4244-3483-1
  • Type

    conf

  • DOI
    10.1109/IST.2009.5071620
  • Filename
    5071620