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
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;
Journal_Title :
Microwave and Guided Wave Letters, IEEE
