• Login
    View Item 
    •   Home
    • Research
    • Articles
    • View Item
    •   Home
    • Research
    • Articles
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of KAUSTCommunitiesIssue DateSubmit DateThis CollectionIssue DateSubmit Date

    My Account

    Login

    Quick Links

    Open Access PolicyORCID LibguideTheses and Dissertations LibguideSubmit an Item

    Statistics

    Display statistics

    A preconditioned inexact newton method for nonlinear sparse electromagnetic imaging

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Type
    Article
    Authors
    Desmal, Abdulla cc
    Bagci, Hakan cc
    KAUST Department
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Center for Uncertainty Quantification in Computational Science and Engineering (SRI-UQ)
    Electrical Engineering Program
    Computational Electromagnetics Laboratory
    Date
    2015-03
    Permanent link to this record
    http://hdl.handle.net/10754/564070
    
    Metadata
    Show full item record
    Abstract
    A nonlinear inversion scheme for the electromagnetic microwave imaging of domains with sparse content is proposed. Scattering equations are constructed using a contrast-source (CS) formulation. The proposed method uses an inexact Newton (IN) scheme to tackle the nonlinearity of these equations. At every IN iteration, a system of equations, which involves the Frechet derivative (FD) matrix of the CS operator, is solved for the IN step. A sparsity constraint is enforced on the solution via thresholded Landweber iterations, and the convergence is significantly increased using a preconditioner that levels the FD matrix's singular values associated with contrast and equivalent currents. To increase the accuracy, the weight of the regularization's penalty term is reduced during the IN iterations consistently with the scheme's quadratic convergence. At the end of each IN iteration, an additional thresholding, which removes small 'ripples' that are produced by the IN step, is applied to maintain the solution's sparsity. Numerical results demonstrate the applicability of the proposed method in recovering sparse and discontinuous dielectric profiles with high contrast values.
    Citation
    Desmal, A., & Bagci, H. (2015). A Preconditioned Inexact Newton Method for Nonlinear Sparse Electromagnetic Imaging. IEEE Geoscience and Remote Sensing Letters, 12(3), 532–536. doi:10.1109/lgrs.2014.2349935
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    IEEE Geoscience and Remote Sensing Letters
    DOI
    10.1109/LGRS.2014.2349935
    ae974a485f413a2113503eed53cd6c53
    10.1109/LGRS.2014.2349935
    Scopus Count
    Collections
    Articles; Electrical and Computer Engineering Program; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

    entitlement

     
    DSpace software copyright © 2002-2023  DuraSpace
    Quick Guide | Contact Us | KAUST University Library
    Open Repository is a service hosted by 
    Atmire NV
     

    Export search results

    The export option will allow you to export the current search results of the entered query to a file. Different formats are available for download. To export the items, click on the button corresponding with the preferred download format.

    By default, clicking on the export buttons will result in a download of the allowed maximum amount of items. For anonymous users the allowed maximum amount is 50 search results.

    To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

    After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.