DocumentCode :
1499690
Title :
3-D imaging of large scale buried structure by 1-D inversion of very early time electromagnetic (VETEM) data
Author :
Aydiner, Alaeddin A. ; Chew, Wen Cho ; Cui, Tie Jun ; Wright, David L. ; Smith, David V. ; Abraham, Jared D.
Author_Institution :
Dept. of Electr. & Comput. Eng., Illinois Univ., Urbana, IL, USA
Volume :
39
Issue :
6
fYear :
2001
fDate :
6/1/2001 12:00:00 AM
Firstpage :
1307
Lastpage :
1315
Abstract :
A simple and efficient method for large scale three-dimensional (3D) subsurface imaging of inhomogeneous background is presented. One-dimensional (1D) multifrequency distorted Born iterative method (DBIM) is employed in the inversion. Simulation results utilizing synthetic scattering data are given. Calibration of the very early time electromagnetic (VETEM) experimental waveforms is detailed along with major problems encountered in practice and their solutions. This discussion is followed by the results of a large scale application of the method to the experimental data provided by the VETEM system of the U.S. Geological Survey. The method is shown to have a computational complexity that is promising for on-site inversion
Keywords :
buried object detection; electromagnetic induction; geophysical prospecting; geophysical techniques; inverse problems; terrestrial electricity; 1D inversion; 3D imaging; computational complexity; exploration; geoelectric method; geology; geophysical measurement technique; inhomogeneous background; land surface; large scale buried structure; multifrequency distorted Born iterative method; on-site inversion; subsurface imaging; terrain mapping; terrestrial electricity; three-dimensional; very early time electromagnetic method; waveform; Buried object detection; Computational complexity; Electromagnetic scattering; Frequency; Geology; Inverse problems; Large-scale systems; Maxwell equations; Object detection; Transmitters;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
Publisher :
ieee
ISSN :
0196-2892
Type :
jour
DOI :
10.1109/36.927454
Filename :
927454
Link To Document :
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