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Tomographic reconstruction from incomplete data set with deterministic and stochastic constraints

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.