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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Meles, G.A. Greenhalgh, S. Maurer, H.R. Green, A.G. van der Kruk, J. |
| Copyright Year | 2011 |
| Description | Author affiliation: ETH Zurich, Sonneggstrasse 5, 8092, Switzerland (Meles, G.A.; Greenhalgh, S.; Maurer, H.R.; Green, A.G.) || Forschungszentrum Jülich, 52425, Germany (van der Kruk, J.) |
| Abstract | GPR tomography is a useful tool for mapping the conductivity and permittivity distributions in the shallow subsurface. By exploiting the full GPR waveforms it is possible to image sub-wavelength features and improve resolution relative to what is possible using ray-based approaches. Usually, mere convergence in the data space is the only criterion used to appraise the goodness of the final result, therefore limiting the reliability of the inversion. A better indication of the correctness of an inverted model and its various parts could be obtained by means of a formal resolution and information content analysis. We present here a novel method for computing the sensitivity kernels (Jacobian matrix) based on an FDTD adjoint method. We show that the column sum of absolute values of the Jacobian, often used as a proxy for model resolution, is inadequate, such that a formal resolution analysis should be performed. The eigenvalue spectrum of the pseudo-Hessian matrix provides a measure of the information content of the experiment and shows the extent of the unresolved model space. |
| Starting Page | 1 |
| Ending Page | 6 |
| File Size | 320001 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781457703324 |
| DOI | 10.1109/IWAGPR.2011.5963863 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-06-22 |
| Publisher Place | Germany |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Sensitivity Permittivity Conductivity Computational modeling Jacobian matrices Receivers Image resolution Inversion FDTD Resolution |
| Content Type | Text |
| Resource Type | Article |
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