DocumentCode :
2115952
Title :
The inversion of subsurface VETEM data-theory and practice
Author :
Cui, T.J. ; Chew, W.C. ; Aydiner, A.A. ; Wright, D.L. ; Smith, D.V.
Author_Institution :
Dept. of Electr. & Comput. Eng., Illinois Univ., Urbana, IL, USA
Volume :
3
fYear :
2002
fDate :
24-28 June 2002
Firstpage :
1566
Abstract :
Very early time electromagnetic system (VETEM) is an efficient tool for the detection of buried targets in very lossy medium. In this paper, we will discuss the inversion of VETEM data using a combination of one-dimensional (1D) and three-dimensional (3D) inverse scattering techniques, where the Born iterative method and distorted Born iterative method have been applied. In order to expedite the 3D inversion, an extended Born-type approximation is made in the forward solver, together with FFT acceleration technique. The 1D inversion provides a gross image of the subsurface, but the 3D inversion helps to resolve the subsurface image better.
Keywords :
buried object detection; electromagnetic induction; geophysical prospecting; geophysical techniques; inverse problems; terrain mapping; terrestrial electricity; 3D inversion; Born iterative method; Born-type approximation; FFT acceleration; VETEM; buried object detection; distorted Born iterative method; exploration; forward solver; geoelectric method; geophysical measurement technique; inversion; land surface; landmine detection; lossy medium; one-dimensional inverse scattering; prospecting; subsurface data; terrain mapping; terrestrial electricity; three dimensional inverse scattering; very early time electromagnetic system; Acceleration; Buried object detection; Dielectric losses; Electromagnetic induction; Frequency; Ground penetrating radar; Image resolution; Inverse problems; Iterative methods; Predistortion;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2002. IGARSS '02. 2002 IEEE International
Print_ISBN :
0-7803-7536-X
Type :
conf
DOI :
10.1109/IGARSS.2002.1026182
Filename :
1026182
Link To Document :
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