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30 October 1997 Multiresolution tomographic inversion from an incomplete data set
Giovanni Jacovitti, Alessandro Neri, S. Puledda
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Proceedings Volume 3169, Wavelet Applications in Signal and Image Processing V; (1997) https://doi.org/10.1117/12.279690
Event: Optical Science, Engineering and Instrumentation '97, 1997, San Diego, CA, United States
Abstract
This paper illustrates a seismic tomographic imaging technique sing stochastic a priori information about structural geological morphology. The method is based on a multiresolution representation, which allows incorporating into conventional Markov Random Field models probabilistic constraints between different scales. A MAP Bayesian iterative solution is proposed to perform inversion of largely ill conditioned problems in presence of a limited angular coverage and a limited number of ray-paths.
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Giovanni Jacovitti, Alessandro Neri, and S. Puledda "Multiresolution tomographic inversion from an incomplete data set", Proc. SPIE 3169, Wavelet Applications in Signal and Image Processing V, (30 October 1997); https://doi.org/10.1117/12.279690
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KEYWORDS
Tomography
Stochastic processes
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