A sparse electromagnetic imaging scheme using nonlinear landweber iterations

Handle URI:
http://hdl.handle.net/10754/621303
Title:
A sparse electromagnetic imaging scheme using nonlinear landweber iterations
Authors:
Desmal, Abdulla ( 0000-0003-0861-8908 ) ; Bagci, Hakan ( 0000-0003-3867-5786 )
Abstract:
Development and use of electromagnetic inverse scattering techniques for imagining sparse domains have been on the rise following the recent advancements in solving sparse optimization problems. Existing techniques rely on iteratively converting the nonlinear forward scattering operator into a sequence of linear ill-posed operations (for example using the Born iterative method) and applying sparsity constraints to the linear minimization problem of each iteration through the use of L<inf>0</inf>/L<inf>1</inf>-norm penalty term (A. Desmal and H. Bagci, IEEE Trans. Antennas Propag, 7, 3878&#x2013;3884, 2014, and IEEE Trans. Geosci. Remote Sens., 3, 532&#x2013;536, 2015). It has been shown that these techniques produce more accurate and sharper images than their counterparts which solve a minimization problem constrained with smoothness promoting L<inf>2</inf>-norm penalty term. But these existing techniques are only applicable to investigation domains involving weak scatterers because the linearization process breaks down for high values of dielectric permittivity.
KAUST Department:
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Citation:
Desmal A, Bagci H (2015) A sparse electromagnetic imaging scheme using nonlinear landweber iterations. 2015 USNC-URSI Radio Science Meeting (Joint with AP-S Symposium). Available: http://dx.doi.org/10.1109/USNC-URSI.2015.7303345.
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Journal:
2015 USNC-URSI Radio Science Meeting (Joint with AP-S Symposium)
Conference/Event name:
USNC-URSI Radio Science Meeting (Joint with AP-S Symposium), USNC-URSI 2015
Issue Date:
26-Oct-2015
DOI:
10.1109/USNC-URSI.2015.7303345
Type:
Conference Paper
Appears in Collections:
Conference Papers; 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.accessioned2016-11-03T06:57:15Z-
dc.date.available2016-11-03T06:57:15Z-
dc.date.issued2015-10-26en
dc.identifier.citationDesmal A, Bagci H (2015) A sparse electromagnetic imaging scheme using nonlinear landweber iterations. 2015 USNC-URSI Radio Science Meeting (Joint with AP-S Symposium). Available: http://dx.doi.org/10.1109/USNC-URSI.2015.7303345.en
dc.identifier.doi10.1109/USNC-URSI.2015.7303345en
dc.identifier.urihttp://hdl.handle.net/10754/621303-
dc.description.abstractDevelopment and use of electromagnetic inverse scattering techniques for imagining sparse domains have been on the rise following the recent advancements in solving sparse optimization problems. Existing techniques rely on iteratively converting the nonlinear forward scattering operator into a sequence of linear ill-posed operations (for example using the Born iterative method) and applying sparsity constraints to the linear minimization problem of each iteration through the use of L<inf>0</inf>/L<inf>1</inf>-norm penalty term (A. Desmal and H. Bagci, IEEE Trans. Antennas Propag, 7, 3878&#x2013;3884, 2014, and IEEE Trans. Geosci. Remote Sens., 3, 532&#x2013;536, 2015). It has been shown that these techniques produce more accurate and sharper images than their counterparts which solve a minimization problem constrained with smoothness promoting L<inf>2</inf>-norm penalty term. But these existing techniques are only applicable to investigation domains involving weak scatterers because the linearization process breaks down for high values of dielectric permittivity.en
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.titleA sparse electromagnetic imaging scheme using nonlinear landweber iterationsen
dc.typeConference Paperen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.identifier.journal2015 USNC-URSI Radio Science Meeting (Joint with AP-S Symposium)en
dc.conference.date19 July 2015 through 24 July 2015en
dc.conference.nameUSNC-URSI Radio Science Meeting (Joint with AP-S Symposium), USNC-URSI 2015en
kaust.authorDesmal, Abdullaen
kaust.authorBagci, Hakanen
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