Please use this identifier to cite or link to this item: https://doi.org/10.1109/LGRS.2012.2202873
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dc.titleImproving the performances of the contrast source extended born inversion method by subspace techniques
dc.contributor.authorAgarwal, K.
dc.contributor.authorSong, R.
dc.contributor.authorD'Urso, M.
dc.contributor.authorChen, X.
dc.date.accessioned2014-06-17T02:52:58Z
dc.date.available2014-06-17T02:52:58Z
dc.date.issued2013
dc.identifier.citationAgarwal, K., Song, R., D'Urso, M., Chen, X. (2013). Improving the performances of the contrast source extended born inversion method by subspace techniques. IEEE Geoscience and Remote Sensing Letters 10 (2) : 391-395. ScholarBank@NUS Repository. https://doi.org/10.1109/LGRS.2012.2202873
dc.identifier.issn1545598X
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/56295
dc.description.abstractSubspace techniques have been introduced in the framework of contrast source (CS) extended born (CSEB) model, for improving its reconstruction capabilities. Two techniques are demonstrated. First, a scheme for generating a good initial guess of the scatterer profile is shown. Second, subspace-based optimization method is used for optimization. Using the suggested techniques, CSEB model can be applied for solving inverse electromagnetic scattering problem with an extended range of application with respect to previous contributions, particularly for very high contrast lossy scatterers. © 2012 IEEE.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/LGRS.2012.2202873
dc.sourceScopus
dc.subjectContrast source (CS) extended born (CSEB) model
dc.subjecthigh contrast
dc.subjectinverse electromagnetic scattering
dc.subjectstrong scatterers
dc.subjectsubspace optimization method
dc.typeArticle
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.doi10.1109/LGRS.2012.2202873
dc.description.sourcetitleIEEE Geoscience and Remote Sensing Letters
dc.description.volume10
dc.description.issue2
dc.description.page391-395
dc.identifier.isiut000310901600038
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