A 1D inversion scheme for large-scale, 3D subsurface imaging of real data

Author

Aydiner, Alaeddin A. ; Cho Chew, Weng ; Jun Cui, Tie ; Wright, David L. ; Smith, David V. ; Abraham, Jared D.

Author_Institution

Center for Computational Electromagn., Illinois Univ., Urbana-Champaign, IL, USA

Volume

1

fYear

2002

fDate

2002

Firstpage

284

Abstract

A simple and efficient method for large scale three-dimensional (3D) subsurface imaging of an inhomogeneous background is presented along with an improved background estimation, which is crucial to the reconstruction. A one-dimensional (1D) multifrequency distorted Born iterative method (DBIM) is employed in the inversion of real data provided by the US Geological Survey. Calibration and practical problems are also discussed. A new 3D verification of the method is also provided.

Keywords

buried object detection; geology; geophysical signal processing; image reconstruction; imaging; inverse problems; iterative methods; parameter estimation; remote sensing; soil; 1D inversion scheme; 3D subsurface imaging; Maxwell equations; US Geological Survey; buried objects; distorted Born iterative method; inhomogeneous background; soil conductivity estimation; Calibration; Computational efficiency; Electromagnetic scattering; Frequency; Geologic measurements; Geology; Image reconstruction; Large-scale systems; Maxwell equations; Transmitters;

fLanguage

English

Publisher

ieee

Conference_Titel

Antennas and Propagation Society International Symposium, 2002. IEEE

Print_ISBN

0-7803-7330-8

Type

conf

DOI

10.1109/APS.2002.1016304

Filename

1016304