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Proceedings Paper

Multiresolution tomographic inversion from an incomplete data set
Author(s): Giovanni Jacovitti; Alessandro Neri; S. Puledda
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Paper 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.

Paper Details

Date Published: 30 October 1997
PDF: 12 pages
Proc. SPIE 3169, Wavelet Applications in Signal and Image Processing V, (30 October 1997); doi: 10.1117/12.279690
Show Author Affiliations
Giovanni Jacovitti, Univ. of Rome La Sapienza (Italy)
Alessandro Neri, Univ. of Rome III (Italy)
S. Puledda, Univ. of Rome La Sapienza (Italy)

Published in SPIE Proceedings Vol. 3169:
Wavelet Applications in Signal and Image Processing V
Akram Aldroubi; Andrew F. Laine; Michael A. Unser, Editor(s)

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