NDLI: Microwave imaging based on a Markov random field model

Content Provider	IEEE Xplore Digital Library
Author	Caorsi, S. Gragnani, G.L. Medicina, S. Pastorino, M. Zunino, G.
Copyright Year	1963
Abstract	A new approach to microwave imaging of 2D inhomogeneous dielectric scatterers is presented. The method is developed in the space domain, and Markov random fields are used to obtain a model of the distributions of dielectric features in the scattering region. In this way, a-priori knowledge can be easily inserted in the imaging scheme. This stochastic approach gives rise to a functional equation that can be minimized by using a simulated annealing algorithm. An iterative scheme is derived that allows one to bypass the need for storing large matrices in the computer. Numerical simulation results, confirming the capabilities and effectiveness of the proposed method, are reported. Solutions have generally been obtained in few steps, and seem better than those obtained by other imaging techniques in the space domain. The capability of the algorithm to operate in a strongly noisy environment is also proved.<>
Sponsorship	IEEE Antennas and Propagation Society
Starting Page	293
Ending Page	303
Page Count	11
File Size	968486
File Format	PDF
ISSN	0018926X
Volume Number	42
Issue Number	3
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1994-03-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Microwave imaging Markov random fields Dielectrics Scattering Stochastic processes Equations Computational modeling Simulated annealing Iterative algorithms Numerical simulation
Content Type	Text
Resource Type	Article
Subject	Condensed Matter Physics Electrical and Electronic Engineering

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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