30 October 1997 Multiresolution tomographic inversion from an incomplete data set
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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.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Giovanni Jacovitti, Alessandro Neri, S. Puledda, "Multiresolution tomographic inversion from an incomplete data set", Proc. SPIE 3169, Wavelet Applications in Signal and Image Processing V, (30 October 1997); doi: 10.1117/12.279690; https://doi.org/10.1117/12.279690

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