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@ARTICLE{Ayala:1018740,
author = {Ayala, Rafael Ceja and Harris, Isaac and Kleefeld, Andreas},
title = {{D}irect sampling method via {L}andweber iteration for an
absorbing scatterer with a conductive boundary},
journal = {Inverse problems and imaging},
volume = {18},
number = {3},
issn = {1930-8337},
address = {Springfield, Mo.},
publisher = {AIMS},
reportid = {FZJ-2023-05021},
pages = {708-729},
year = {2024},
abstract = {In this paper, we consider the inverse shape problem of
recovering isotropic scatterers with a conductive boundary
condition. Here, we assume that the measured far-field data
is known at a fixed wave number. Motivated by recent work,
we study a new direct sampling indicator based on the
Landweber iteration and the factorization method. Therefore,
we prove the connection between these reconstruction
methods. The method studied here falls under the category of
qualitative reconstruction methods where an imaging function
is used to recover the absorbing scatterer. We prove
stability of our new imaging function as well as derive a
discrepancy principle for recovering the regularization
parameter. The theoretical results are verified with
numerical examples to show how the reconstruction performs
by the new Landweber direct sampling method.},
cin = {JSC},
ddc = {510},
cid = {I:(DE-Juel1)JSC-20090406},
pnm = {5112 - Cross-Domain Algorithms, Tools, Methods Labs (ATMLs)
and Research Groups (POF4-511)},
pid = {G:(DE-HGF)POF4-5112},
typ = {PUB:(DE-HGF)16},
UT = {WOS:001115861700001},
doi = {10.3934/ipi.2023051},
url = {https://juser.fz-juelich.de/record/1018740},
}