Title | ||
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Improving the Performances of the Contrast Source Extended Born Inversion Method by Subspace Techniques |
Abstract | ||
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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. |
Year | DOI | Venue |
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2013 | 10.1109/LGRS.2012.2202873 | Geoscience and Remote Sensing Letters, IEEE |
Keywords | Field | DocType |
electromagnetic wave scattering,optimisation,CSEB model,contrast source extended born inversion method,high contrast lossy scatterer,inverse electromagnetic scattering problem,subspace-based optimization method,Contrast source (CS) extended born (CSEB) model,high contrast,inverse electromagnetic scattering,strong scatterers,subspace optimization method | Scattering,Inverse problem,Artificial intelligence,Inverse transform sampling,Iterative reconstruction,Computer vision,Inverse,Mathematical optimization,Subspace topology,Lossy compression,Algorithm,Electromagnetic wave scattering,Mathematics | Journal |
Volume | Issue | ISSN |
10 | 2 | 1545-598X |
Citations | PageRank | References |
3 | 0.56 | 4 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Krishna Agarwal | 1 | 7 | 2.41 |
Rencheng Song | 2 | 15 | 6.03 |
Michele D'Urso | 3 | 3 | 0.56 |
Xudong Chen | 4 | 11 | 2.12 |