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- W1971002860 abstract "Abstract In electromagnetic geotomography, the inversion is very ill-posed due to the limita- tion of an angular range of projections, and consequently the reconstructed image is different than the true image. Nevertheless, the reconstruction can be much im- proved if we are interested only in a piece of information on the interior volume of the examined object, e.g. detection of some anomalies (bubbles). We assume that the image can be represented by binary values, hence: Discrete Electromagnetic Geotomography (DEG). In this paper, we discuss two discrete image reconstruction algorithms. The first one uses the D.C. programming to find the integer solution to the penalized least-squares problem. The penalty term is based on the Gibbs distribution. In the second one, the mean field annealing is applied to maximize the Gibbs-Boltzmann distribution associated with the penalized least-squares function. The numerical results are presented for noise-free and noisy data." @default.
- W1971002860 created "2016-06-24" @default.
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- W1971002860 creator A5054574834 @default.
- W1971002860 date "2005-07-01" @default.
- W1971002860 modified "2023-09-26" @default.
- W1971002860 title "Detection of Subsurface Bubbles with Discrete Electromagnetic Geotomography" @default.
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- W1971002860 doi "https://doi.org/10.1016/j.endm.2005.05.084" @default.
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