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, Giovanni Jacovitti, Alessandro Neri, Alessandro Neri, S. Puledda, 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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