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Stochastic geophysical diffraction tomography
Author(s) -
Tsihrintzis George A.,
Devaney Anthony J.
Publication year - 1994
Publication title -
international journal of imaging systems and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.359
H-Index - 47
eISSN - 1098-1098
pISSN - 0899-9457
DOI - 10.1002/ima.1850050307
Subject(s) - diffraction tomography , offset (computer science) , tomography , geophysics , stochastic process , diffraction , geology , seismic tomography , realization (probability) , backpropagation , exploration geophysics , geophysical imaging , statistical physics , computer science , physics , artificial neural network , mathematics , optics , artificial intelligence , statistics , programming language , mantle (geology)
Abstract We revisit geophysical diffraction tomography (GDT) and cast it into a stochastic framework, in which the geophysical formation to be imaged is modeled as a realization of a two‐dimensional stationary random process. It is shown that the optimum reconstruction algorithm, in both the cases of offset vertical seismic profiling and well‐to‐well probing, attains a modified filtered backpropagation form.©1994 John Wiley & Sons Inc