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Proceedings Paper

Tomographic reconstruction from incomplete data set with deterministic and stochastic constraints
Author(s): Alessandro Neri; P. Carrion; Giovanni Jacovitti; A. Vesnaver
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Paper Abstract

The paper illustrates a comprehensive method for improving tomographic imaging of seismic sections with the addition of a priori information. In particular, along with `hard' bounds imposed on propagation velocity, morphological statistical constraints have been incorporated into inversion. For this purpose a Maximum A Posteriori probability solution is given combining least squares, ray tracing and simulated annealing techniques. Experimental results for both synthetic and field data are provided.

Paper Details

Date Published: 1 December 1993
PDF: 12 pages
Proc. SPIE 2033, Mathematical Methods in Geophysical Imaging, (1 December 1993); doi: 10.1117/12.164843
Show Author Affiliations
Alessandro Neri, Univ. of Rome III (Italy)
P. Carrion, Osservatorio Geofisico Sperimentale (Italy)
Giovanni Jacovitti, Univ. of Rome La Sapienza (Italy)
A. Vesnaver, Osservatorio Geofisico Sperimentale (Italy)

Published in SPIE Proceedings Vol. 2033:
Mathematical Methods in Geophysical Imaging
Sergio E. Zarantonello, Editor(s)

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