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http://hdl.handle.net/2122/1833
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| Title: | Focusing inversion techniques applied to electrical resistance tomography in an experimental tank |
| Authors: | Pagliara, G.* Vignoli, G.* |
| Keywords: | ERT electrical tomography minimum gradient support complete electode model regularization |
| Issue Date: | 3-Sep-2006 |
| Abstract: | We present an algorithm for focusing inversion of electrical resistivity
tomography (ERT) data. ERT is a typical example of ill-posed problem. Regularization is the
most common way to face this kind of problems; it basically consists in using a priori
information about targets to reduce the ambiguity and the instability of the solution. By using
the minimum gradient support (MGS) stabilizing functional, we introduce the following
geometrical prior information in the reconstruction process: anomalies have sharp boundaries.
The presented work is embedded in a project (L.A.R.A.) which aims at the estimation of
hydrogeological properties from geophysical investigations. L.A.R.A. facilities include a
simulation tank (4 m x 8 m x 1.35 m); 160 electrodes are located all around the tank and used
for 3-D ERT. Because of the large number of electrodes and their dimensions, it is important
to model their effect in order to correctly evaluate the electrical system response. The forward
modelling in the presented algorithm is based on the so-called complete electrode model that
takes into account the presence of the electrodes and their contact impedances.
In this paper, we compare the results obtained with different regularizing functionals applied
on a synthetic model. |
| URI: | http://hdl.handle.net/2122/1833 |
| URL: | http://arxiv.org/ftp/physics/papers/0606/0606234.pdf |
| Appears in Collections: | Conference materials 05.06.99. General or miscellaneous
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