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Globally convergent...
Globally convergent and adaptive finite element methods in imaging of buried objects from experimental backscattering radar measurements
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- Beilina, Larisa, 1970 (author)
- Gothenburg University,Göteborgs universitet,Institutionen för matematiska vetenskaper, matematik,Department of Mathematical Sciences, Mathematics
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- Thanh, Nguyen Trung (author)
- Iowa State University
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- Klibanov, M.V. (author)
- The University of North Carolina at Charlotte
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- Bondestam Malmberg, John, 1988 (author)
- Gothenburg University,Göteborgs universitet,Institutionen för matematiska vetenskaper, matematik,Department of Mathematical Sciences, Mathematics
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(creator_code:org_t)
- Elsevier BV, 2015
- 2015
- English.
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In: Journal of Computational and Applied Mathematics. - : Elsevier BV. - 0377-0427. ; 289, s. 371-391
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Abstract
Subject headings
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- We consider a two-stage numerical procedure for imaging of objects buried in dry sand using time-dependent backscattering experimental radar measurements. These measurements are generated by a single point source of electric pulses and are collected using a microwave scattering facility which was built at the University of North Carolina at Charlotte. Our imaging problem is formulated as the inverse problem of the reconstruction of the spatially distributed dielectric constant, which is an unknown coefficient in Maxwell’s equations.
Subject headings
- NATURVETENSKAP -- Matematik (hsv//swe)
- NATURAL SCIENCES -- Mathematics (hsv//eng)
Keyword
- Globally convergent algorithm
- Refractive indices
- Adaptive finite element method
- Inverse scattering
- Inverse scattering; Refractive indices; Globally convergent algorithm; Adaptive finite element method
Publication and Content Type
- art (subject category)
- ref (subject category)
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