• DocumentCode
    3534443
  • Title

    Hybrid reconstruction techniques for microwave imaging systems

  • Author

    Pastorino, M.

  • Author_Institution
    Dept. of Biophys. & Electron. Eng., Univ. of Genoa, Genoa, Italy
  • fYear
    2010
  • fDate
    1-2 July 2010
  • Firstpage
    198
  • Lastpage
    203
  • Abstract
    Microwave imaging systems require suitable reconstruction procedures in order to process the measured samples of the scattered electric field. Due to the ill-posedness of the related inverse problem, hybrid reconstruction techniques are considered in order to combine the main features of different inversion methods. Several different strategies can be followed. The present paper describes some of the most interesting approaches recently proposed in the scientific literature. In particular, the combination of stochastic algorithms (which are effective in addressing the ill-posedness of the inverse scattering problem) with fast deterministic methods is considered. Moreover, a hybrid strategy involving a qualitative reconstruction approach is also briefly discussed. Finally, a hybrid two-step focusing procedure is presented.
  • Keywords
    electric fields; feature extraction; image reconstruction; microwave imaging; stochastic processes; electric field scattering; hybrid reconstruction techniques; hybrid two-step focusing procedure; inverse scattering problem; microwave imaging systems; qualitative reconstruction approach; stochastic algorithms; Buried object detection; Dielectrics; Image reconstruction; Integral equations; Inverse problems; Microwave imaging; Microwave theory and techniques; Scattering; Stochastic processes; Testing; Microwave imaging; hybrid reconstruction techniques; inverse scattering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Imaging Systems and Techniques (IST), 2010 IEEE International Conference on
  • Conference_Location
    Thessaloniki
  • Print_ISBN
    978-1-4244-6492-0
  • Type

    conf

  • DOI
    10.1109/IST.2010.5548474
  • Filename
    5548474