Electromagnetic detection of dielectric scatterers using phaseless synthetic and real data and the memetic algorithm

Phaseless data are used to evaluate the application of an electromagnetic inverse-scattering-based procedure for the detection of cylindrical inhomogeneities, which are schematized as multilayer infinite dielectric cylinders with elliptic cross sections. The electromagnetic inverse problem is recast...

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Bibliographic Details
Published in:IEEE transactions on geoscience and remote sensing 2003-12, Vol.41 (12), p.2745-2753
Main Authors: Caorsi, S., Massa, A., Pastorino, M., Randazzo, A.
Format: Article
Language:English
Subjects:
Algorithms
Applied geophysics
Cross sections
Dielectrics
Earth sciences
Earth, ocean, space
Electromagnetic scattering
Electromagnetism
Engine cylinders
Engineering Sciences
Exact sciences and technology
Inhomogeneities
Internal geophysics
Inverse problems
Mathematical analysis
Microwave imaging
Microwaves
Multilayers
Optimization
Phase detection
Phase measurement
Radar detection
Radar scattering
Signal and Image processing
Stochastic processes
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Summary:Phaseless data are used to evaluate the application of an electromagnetic inverse-scattering-based procedure for the detection of cylindrical inhomogeneities, which are schematized as multilayer infinite dielectric cylinders with elliptic cross sections. The electromagnetic inverse problem is recast as a global optimization problem and iteratively solved by an efficient memetic algorithm, which combines deterministic and stochastic concepts. Moreover, a recursive analytical procedure is used for the forward-scattering computation. The possibility of localizing and reconstructing the scatterers by using phaseless input data, which would greatly simplify the design of the imaging apparatus, is evaluated both with reference to synthetically produced data and by means of experimental data obtained by a microwave tomograph.
ISSN:0196-2892
1558-0644
DOI:10.1109/TGRS.2003.815676