Tomographic reconstruction from incomplete data set with deterministic and stochastic constraints

Alessandro Neri; P. Carrion; Giovanni Jacovitti; A. Vesnaver

doi:10.1117/12.164843

1 December 1993 Tomographic reconstruction from incomplete data set with deterministic and stochastic constraints

Alessandro Neri, P. Carrion, Giovanni Jacovitti, A. Vesnaver

Author Affiliations +

Proceedings Volume 2033, Mathematical Methods in Geophysical Imaging; (1993) https://doi.org/10.1117/12.164843
Event: SPIE's 1993 International Symposium on Optics, Imaging, and Instrumentation, 1993, San Diego, CA, United States

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.

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Alessandro Neri, P. Carrion, Giovanni Jacovitti, and A. Vesnaver "Tomographic reconstruction from incomplete data set with deterministic and stochastic constraints", Proc. SPIE 2033, Mathematical Methods in Geophysical Imaging, (1 December 1993); https://doi.org/10.1117/12.164843

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