DocumentCode :
1019427
Title :
Two-Dimensional Contrast Source Inversion Method With Phaseless Data: TM Case
Author :
Li, Lianlin ; Zheng, Hu ; Li, Fang
Author_Institution :
Inst. of Electron., Chinese Acad. of Sci., Beijing
Volume :
47
Issue :
6
fYear :
2009
fDate :
6/1/2009 12:00:00 AM
Firstpage :
1719
Lastpage :
1736
Abstract :
In this paper, two new approaches are presented for the solution of electromagnetic inverse scattering problems when amplitude-only data are available. The proposed techniques are based on a customized version, which are the so-called contrast source inversion (CSI) and multiplicative regularized CSI (MRCSI) methods. In the proposed approaches, denoted as the phaseless-data (PD)-CSI and the PD-MRCSI, only the term of the cost functional concerning the mismatch between the measured and estimated field data (i.e., the data equation) has been properly redefined. Moreover, the back-projection algorithm has been modified to provide an initial solution ensuring the rapid convergence of the optimization procedures and avoid the reconstruction of false solutions. A set of representative results concerning numerical as well as experimental tests is reported to show the accuracy of the proposed amplitude-only reconstruction approaches.
Keywords :
electromagnetic wave scattering; geophysical signal processing; remote sensing; signal reconstruction; 2D contrast source inversion method; amplitude-only reconstruction; back-projection algorithm; electromagnetic inverse scattering problem; multiplicative regularized CSI; phaseless-data CSI; phaseless-data MRCSI; Algorithm; back-projection (BP); electromagnetic (EM) inverse scattering; full-data (FD) contrast source inversion (CSI); full-data (FD) multiplicative regularized contrast source inversion (MRCSI); phaseless-data CSI (PD-CSI); phaseless-data MRCSI (PD-MRCSI);
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
Publisher :
ieee
ISSN :
0196-2892
Type :
jour
DOI :
10.1109/TGRS.2008.2006360
Filename :
4695996
Link To Document :
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