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Globally convergent and adaptive finite element methods in imaging of buried objects from experimental backscattering radar measurements

Beilina, Larisa, 1970 (author)
Gothenburg University,Göteborgs universitet,Institutionen för matematiska vetenskaper, matematik,Department of Mathematical Sciences, Mathematics
Thanh, Nguyen Trung (author)
Iowa State University
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.
In: Journal of Computational and Applied Mathematics. - : Elsevier BV. - 0377-0427. ; 289, s. 371-391
  • Journal article (peer-reviewed)
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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