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http://dx.doi.org/10.7471/ikeee.2016.20.2.152

Resistivity Image Reconstruction Using Interacting Dual-Mode Regularization  

Kang, Suk-In (Faculty of Applied Energy System, Major of Electronic Engineering, Jeju National University)
Kim, Kyung-Youn (Dept. of Electronic Engineering, Jeju National University)
Publication Information
Journal of IKEEE / v.20, no.2, 2016 , pp. 152-162 More about this Journal
Abstract
Electrical resistivity tomography (ERT) is a technique to reconstruct the internal resistivity distribution using the measured voltages on the surface electrodes. ERT inverse problem suffers from ill-posedness nature, so regularization methods are used to mitigate ill-posedness. The reconstruction performance varies depending on the type of regularization method. In this paper, an interacting dual-mode regularization method is proposed with two different regularization methods, L1-norm regularization and total variation (TV) regularization, to achieve robust reconstruction performance. The interacting dual-mode regularization method selects the suitable regularization method and combines the regularization methods based on computed mode probabilities depending on the actual conditions. The proposed method is tested with numerical simulations and the results demonstrate an improved reconstruction performance.
Keywords
electrical resistivity tomography; inverse problem; L1-norm; total variation; regularization method; interacting dual-mode;
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Times Cited By KSCI : 1  (Citation Analysis)
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