Nonlinear microwave imaging using Levenberg-Marquardt method with iterative shrinkage thresholding

Handle URI:
http://hdl.handle.net/10754/564944
Title:
Nonlinear microwave imaging using Levenberg-Marquardt method with iterative shrinkage thresholding
Authors:
Desmal, Abdulla ( 0000-0003-0861-8908 ) ; Bagci, Hakan ( 0000-0003-3867-5786 )
Abstract:
Development of microwave imaging methods applicable in sparse investigation domains is becoming a research focus in computational electromagnetics (D.W. Winters and S.C. Hagness, IEEE Trans. Antennas Propag., 58(1), 145-154, 2010). This is simply due to the fact that sparse/sparsified domains naturally exist in many applications including remote sensing, medical imaging, crack detection, hydrocarbon reservoir exploration, and see-through-the-wall imaging.
KAUST Department:
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division; Electrical Engineering Program; Computational Electromagnetics Laboratory
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Journal:
2014 USNC-URSI Radio Science Meeting (Joint with AP-S Symposium)
Conference/Event name:
2014 USNC-URSI Radio Science Meeting (Joint with AP-S Symposium), USNC-URSI 2014
Issue Date:
Jul-2014
DOI:
10.1109/USNC-URSI.2014.6955635
Type:
Conference Paper
ISBN:
9781479937462
Appears in Collections:
Conference Papers; Electrical Engineering Program; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorDesmal, Abdullaen
dc.contributor.authorBagci, Hakanen
dc.date.accessioned2015-08-04T07:25:53Zen
dc.date.available2015-08-04T07:25:53Zen
dc.date.issued2014-07en
dc.identifier.isbn9781479937462en
dc.identifier.doi10.1109/USNC-URSI.2014.6955635en
dc.identifier.urihttp://hdl.handle.net/10754/564944en
dc.description.abstractDevelopment of microwave imaging methods applicable in sparse investigation domains is becoming a research focus in computational electromagnetics (D.W. Winters and S.C. Hagness, IEEE Trans. Antennas Propag., 58(1), 145-154, 2010). This is simply due to the fact that sparse/sparsified domains naturally exist in many applications including remote sensing, medical imaging, crack detection, hydrocarbon reservoir exploration, and see-through-the-wall imaging.en
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.titleNonlinear microwave imaging using Levenberg-Marquardt method with iterative shrinkage thresholdingen
dc.typeConference Paperen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.contributor.departmentElectrical Engineering Programen
dc.contributor.departmentComputational Electromagnetics Laboratoryen
dc.identifier.journal2014 USNC-URSI Radio Science Meeting (Joint with AP-S Symposium)en
dc.conference.date6 July 2014 through 11 July 2014en
dc.conference.name2014 USNC-URSI Radio Science Meeting (Joint with AP-S Symposium), USNC-URSI 2014en
kaust.authorBagci, Hakanen
kaust.authorDesmal, Abdullaen
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