DocumentCode
444832
Title
High-order inversion formulas for 3D buried dielectric objects
Author
Cui, Tie Jun ; Qin, Yao ; Ye, Yuan ; Wu, Jing ; Wang, Gong-Li ; Chew, Weng Cho
Author_Institution
Dept. of Radio Eng., Southeast Univ., Nanjing, China
Volume
2A
fYear
2005
fDate
3-8 July 2005
Firstpage
131
Abstract
In this work, we propose an efficient inversion method to reconstruct 3D dielectric objects buried in a lossy earth using the high-order extended Born (ExBorn) approximations. We have shown that the zeroth-order solution of the method is completely equivalent to the Born approximation, which corresponds to a linear inverse scattering. Based on the high-order ExBorn approximations for forward scattering problem, high-order solutions of the object function for inverse scattering problems are obtained, which have closed-form relations to the linear inverse-scattering solution. Because such relations can be fast evaluated using the fast Fourier transform, the high-order solutions have similar simplicity to the Born approximation. When the contrast of buried object is large, the high-order solutions are much more accurate due to the approximate consideration of multiple-scattering effect within the object. Therefore, good resolution images can be obtained for large-contrast objects using the new method by only solving a linear inverse-scattering problem. In the linear inversion, a modified Tikhonov regularization has been adopted, which can provide better reconstruction results than the conventional Tikhonov regularization. Numerical experiments have shown the validity and efficiency of the proposed method.
Keywords
absorbing media; buried object detection; electromagnetic wave scattering; fast Fourier transforms; inverse problems; 3D buried dielectric objects; ExBorn approximations; fast Fourier transform; forward scattering; high-order extended Born approximations; high-order inversion formulas; large-contrast objects; linear inverse scattering; lossy earth; modified Tikhonov regularization; zeroth-order solution; Approximation methods; Buried object detection; Conductivity; Dielectrics; Electromagnetic scattering; Geophysics computing; Image reconstruction; Integral equations; Inverse problems; Permittivity;
fLanguage
English
Publisher
ieee
Conference_Titel
Antennas and Propagation Society International Symposium, 2005 IEEE
Print_ISBN
0-7803-8883-6
Type
conf
DOI
10.1109/APS.2005.1551754
Filename
1551754
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