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