Algorithm and Filter Selection in Geophysical Tomography
作者： Constantine Balanis , J. Bentley
关键词: Iterative reconstruction 、 Minimum-variance unbiased estimator 、 Filter (signal processing) 、 Mathematics 、 Geophysical imaging 、 Smoothing 、 Linear system 、 Tomography 、 Algorithm 、 System of linear equations
摘要: In geophysical tomography, linear system methods are used to develop a of equations with the tomogram elements as unknowns. Usually this is inconsistent due inaccurate measurements and assumption that RF waves travel along straight paths in medium be reconstructed. paper two new algorithms, distance transposed modified ART (DTM-ART) (MDT-ART), created, examined, compared others (such ART, (M-ART), (DT-ART)) for improvement stabilization iterative reconstruction tomograms. It was found MDT-ART algorithm exhibited most favorable characteristics. Six spatial smoothing filters were investigated, some these first time, their merits accentuating image anomalies. Of these, minimum variance partition average (MVP-AVG) filter seemed best accentuate anomaly regions reconstructed tomogram.
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