• DocumentCode
    1516850
  • Title

    Microwave imaging method using a simulated annealing approach

  • Author

    Caorsi, S. ; Gragnani, G.L. ; Medicina, S. ; Pastorino, M. ; Zunino, G.

  • Author_Institution
    Dept. of Biophys. & Electron. Eng., Genoa Univ., Italy
  • Volume
    1
  • Issue
    11
  • fYear
    1991
  • Firstpage
    331
  • Lastpage
    333
  • Abstract
    A method of microwave imaging in the space domain which is based on a simulated annealing approach is presented. Markov random fields are used to model the distributions of dielectric features, and a stochastic relaxation algorithm is developed to solve the imaging problem. Computationally heavy inversions of large matrices are avoided. Numerical results confirming the capabilities of the proposed method are reported. They seem better than those obtained by other imaging techniques in the space domain.<>
  • Keywords
    Markov processes; electromagnetic wave scattering; microwave imaging; relaxation theory; simulated annealing; Markov random fields; dielectric features distribution model; matrix inversion; microwave imaging; simulated annealing; space domain; stochastic relaxation algorithm; Computational modeling; Equations; Markov random fields; Mathematical model; Medical simulation; Microwave imaging; Microwave theory and techniques; Scattering; Simulated annealing; Stochastic processes;
  • fLanguage
    English
  • Journal_Title
    Microwave and Guided Wave Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1051-8207
  • Type

    jour

  • DOI
    10.1109/75.93902
  • Filename
    93902