Three-dimensional imaging of buried objects in very lossy earth by inversion of VETEM data
IEEE Transactions on Geoscience and Remote Sensing
By: T.J. Cui, A.A. Aydiner, W.C. Chew, D.L. Wright, and D.V. Smith
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Abstract
The very early time electromagnetic system (VETEM) is an efficient tool for the detection of buried objects in very lossy earth, which allows a deeper penetration depth compared to the ground-penetrating radar. In this paper, the inversion of VETEM data is investigated using three-dimensional (3-D) inverse scattering techniques, where multiple frequencies are applied in the frequency range from 0-5 MHz. For small and moderately sized problems, the Born approximation and/or the Born iterative method have been used with the aid of the singular value decomposition and/or the conjugate gradient method in solving the linearized integral equations. For large-scale problems, a localized 3-D inversion method based on the Born approximation has been proposed for the inversion of VETEM data over a large measurement domain. Ways to process and to calibrate the experimental VETEM data are discussed to capture the real physics of buried objects. Reconstruction examples using synthesized VETEM data and real-world VETEM data are given to test the validity and efficiency of the proposed approach.
Suggested Citation
Cui, T., Aydiner, A., Chew, W., Wright, D., and Smith, D., 2003, Three-dimensional imaging of buried objects in very lossy earth by inversion of VETEM data: IEEE Transactions on Geoscience and Remote Sensing, v. 41, no. 10 PART I, p. 2197-2210, https://doi.org/10.1109/TGRS.2003.815974.
| Publication type | Article |
|---|---|
| Publication Subtype | Journal Article |
| Title | Three-dimensional imaging of buried objects in very lossy earth by inversion of VETEM data |
| Series title | IEEE Transactions on Geoscience and Remote Sensing |
| DOI | 10.1109/TGRS.2003.815974 |
| Volume | 41 |
| Issue | 10 PART I |
| Year Published | 2003 |
| Language | English |
| Larger Work Type | Article |
| Larger Work Subtype | Journal Article |
| Larger Work Title | IEEE Transactions on Geoscience and Remote Sensing |
| First page | 2197 |
| Last page | 2210 |