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Microwave imaging: Reconstructions from experimental data using conjugate gradient and enhancement by edge‐preserving regularization
Author(s) -
Lobel P.,
Pichot C.,
BlancFéraud L.,
Barlaud M.
Publication year - 1997
Publication title -
international journal of imaging systems and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.359
H-Index - 47
eISSN - 1098-1098
pISSN - 0899-9457
DOI - 10.1002/(sici)1098-1098(1997)8:4<337::aid-ima1>3.0.co;2-b
Subject(s) - conjugate gradient method , microwave imaging , classification of discontinuities , iterative reconstruction , regularization (linguistics) , algorithm , lossy compression , markov random field , computer science , iterative method , mathematics , mathematical analysis , microwave , artificial intelligence , segmentation , image segmentation , telecommunications
A method for reconstructing the complex permittivity profile of lossy dielectric objects from measured scattered far‐field data is presented. An iterative reconstruction algorithm based on a conjugate gradient method is derived from an integral representation of the electric field and applying a moment method solution. Results obtained from experimental data are shown for both known and unknown targets. Then, a new regularization procedure is developed to enhance the quality of the reconstruction. This method, based on a Markov random fields approach, models the object to be reconstructed by homogeneous areas separated by borderlike discontinuities. Finally, the enhancement is shown by the reconstruction of a polystyrene square cylinder. © 1997 John Wiley & Sons, Inc. Int J Imaging Syst Technol, 8, 337–342, 1997