DocumentCode :
1360366
Title :
Imaging of two-dimensional targets buried in a lossy earth with unknown characteristics from multi-frequency and multi-monostatic data
Author :
Liu, Y.L. ; Li, Lily L. ; Li, Fan
Author_Institution :
Inst. of Electron., Chinese Acad. of Sci., Beijing, China
Volume :
4
Issue :
10
fYear :
2010
fDate :
10/1/2010 12:00:00 AM
Firstpage :
1647
Lastpage :
1653
Abstract :
The problem of imaging of 2-D dielectric objects embedded in a lossy earth is considered with unknown permittivity and conductivity of the lossy background. Under Born approximation, the spectral form of the Green´s function in half-space is employed to formulate the half-space imaging algorithm with multi-frequency and multi-monostatic data. Hence the fast Fourier transform can be used to achieve real-time imaging in a very short computation time. Inspired by the principle of time reversed imaging, a refocusing time factor has been introduced into the refocusing formulation. The optimal focusing time can be determined according to minimum entropy criterion. At the optimal focusing time a satisfactory image can be obtained regardless of the unknown characteristics of the earth. Numerical results have shown that the proposed algorithm can provide a high quality focused image in a short time despite the inaccurate estimation of earth electric parameters.
Keywords :
Green´s function methods; approximation theory; buried object detection; entropy; fast Fourier transforms; geophysical image processing; image reconstruction; permittivity; remote sensing; 2D dielectric object imaging; Born approximation; Green´s function; fast Fourier transform; half-space imaging algorithm; image reconstruction; lossy background conductivity; minimum entropy criterion; multifrequency data; multimonostatic data; permittivity; refocusing time factor; time reversed imaging; two-dimensional target imaging;
fLanguage :
English
Journal_Title :
Microwaves, Antennas & Propagation, IET
Publisher :
iet
ISSN :
1751-8725
Type :
jour
DOI :
10.1049/iet-map.2009.0235
Filename :
5609063
Link To Document :
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