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dc.contributor.authorDesmal, Abdulla
dc.contributor.authorBagci, Hakan
dc.date.accessioned2017-04-10T07:49:51Z
dc.date.available2017-04-10T07:49:51Z
dc.date.issued2017-04-03
dc.identifier.citationDesmal A, Bagci H (2017) Sparse Nonlinear Electromagnetic Imaging Accelerated With Projected Steepest Descent Algorithm. IEEE Transactions on Geoscience and Remote Sensing: 1–13. Available: http://dx.doi.org/10.1109/TGRS.2017.2681184.
dc.identifier.issn0196-2892
dc.identifier.issn1558-0644
dc.identifier.doi10.1109/TGRS.2017.2681184
dc.identifier.urihttp://hdl.handle.net/10754/623106
dc.description.abstractAn efficient electromagnetic inversion scheme for imaging sparse 3-D domains is proposed. The scheme achieves its efficiency and accuracy by integrating two concepts. First, the nonlinear optimization problem is constrained using L₀ or L₁-norm of the solution as the penalty term to alleviate the ill-posedness of the inverse problem. The resulting Tikhonov minimization problem is solved using nonlinear Landweber iterations (NLW). Second, the efficiency of the NLW is significantly increased using a steepest descent algorithm. The algorithm uses a projection operator to enforce the sparsity constraint by thresholding the solution at every iteration. Thresholding level and iteration step are selected carefully to increase the efficiency without sacrificing the convergence of the algorithm. Numerical results demonstrate the efficiency and accuracy of the proposed imaging scheme in reconstructing sparse 3-D dielectric profiles.
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.urlhttp://ieeexplore.ieee.org/document/7891587/
dc.rights(c) 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. Released under the IEEE Open Access Publishing Agreement.
dc.rights.urihttp://www.ieee.org/publications_standards/publications/rights/oa_author_choices.html
dc.subjectAccelerated steepest descent
dc.subjectelectromagnetic imaging
dc.subjectelectromagnetic inverse scattering
dc.subjectLandweber iterations
dc.subjectnonlinear ill-posed problem
dc.subjectnumerical methods
dc.subjectsparsity
dc.titleSparse Nonlinear Electromagnetic Imaging Accelerated With Projected Steepest Descent Algorithm
dc.typeArticle
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentElectrical Engineering Program
dc.contributor.departmentDivision of Computer, Electrical, and Mathematical Science and Engineering, King Abdullah University of Science and Technology, Thuwal 23955-6900, Saudi Arabia
dc.identifier.journalIEEE Transactions on Geoscience and Remote Sensing
dc.eprint.versionPublisher's Version/PDF
kaust.personDesmal, Abdulla
kaust.personBagci, Hakan
refterms.dateFOA2018-06-13T22:05:25Z


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