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Resistivity Image Reconstruction Using Interacting Dual-Mode Regularization
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  • Journal title : Journal of IKEEE
  • Volume 20, Issue 2,  2016, pp.152-162
  • Publisher : Institude of Korean Electrical and Electronics Engineers
  • DOI : 10.7471/ikeee.2016.20.2.152
 Title & Authors
Resistivity Image Reconstruction Using Interacting Dual-Mode Regularization
Kang, Suk-In; Kim, Kyung-Youn;
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 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;
 Language
Korean
 Cited by
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