Please use this identifier to cite or link to this item:
https://doi.org/10.1109/LGRS.2012.2202873
DC Field | Value | |
---|---|---|
dc.title | Improving the performances of the contrast source extended born inversion method by subspace techniques | |
dc.contributor.author | Agarwal, K. | |
dc.contributor.author | Song, R. | |
dc.contributor.author | D'Urso, M. | |
dc.contributor.author | Chen, X. | |
dc.date.accessioned | 2014-06-17T02:52:58Z | |
dc.date.available | 2014-06-17T02:52:58Z | |
dc.date.issued | 2013 | |
dc.identifier.citation | Agarwal, 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.issn | 1545598X | |
dc.identifier.uri | http://scholarbank.nus.edu.sg/handle/10635/56295 | |
dc.description.abstract | Subspace 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.uri | http://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/LGRS.2012.2202873 | |
dc.source | Scopus | |
dc.subject | Contrast source (CS) extended born (CSEB) model | |
dc.subject | high contrast | |
dc.subject | inverse electromagnetic scattering | |
dc.subject | strong scatterers | |
dc.subject | subspace optimization method | |
dc.type | Article | |
dc.contributor.department | ELECTRICAL & COMPUTER ENGINEERING | |
dc.description.doi | 10.1109/LGRS.2012.2202873 | |
dc.description.sourcetitle | IEEE Geoscience and Remote Sensing Letters | |
dc.description.volume | 10 | |
dc.description.issue | 2 | |
dc.description.page | 391-395 | |
dc.identifier.isiut | 000310901600038 | |
Appears in Collections: | Staff Publications |
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