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Proceedings Paper

A Computer Vision System For Understanding The Movement Of A Wave Field
Author(s): Goffreao G. Pieroni; Olin G. Johnson
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Paper Abstract

Mathematical modeling of seismic phenomena is an important tool for producing synthetic wavefield snapshots as well as synthetic seismic traces. The generation of those models is mainly carried out as an aid for studying the propagation of a signal when it is transmitted through or reflected from a a given horizon. In fact, information regarding the geometry of the horizon and the nature of the materials, the contact of which gives rise to the horizon, are fundamental in geological exploration. The snapshots mentioned above form a sequence of images showing a two-dimensional representation of the wave field evolving into refracted and reflected waves during a given period of time. By analyzing the behavior of the reflected and refracted waves a human observer can extract parameters like velocity of the waves, geometry of the horizon, reflection and refraction parameters, and nature of the materials. This is an intelligent process which infers properties of objects by relating aspects of an apparently totally different nature (like a sequence of picture where arcs of circles are delineated). It is interesting to observe that it is possible for the human eye to classify the waves residing in each configuration, tracking them from an image to the successive one, giving finally, a synthetic description of the environment. Frequently a problem rises when reflected, refracted, and wrap-around waves form complex configurations. In these cases the distinction of the components of the wavefield becomes difficult. An automatic system, which is able to emulate the behaviour of a human observer analyzing a simple sequence of synthetic snapshots, is presented.

Paper Details

Date Published: 26 March 1986
PDF: 7 pages
Proc. SPIE 0635, Applications of Artificial Intelligence III, (26 March 1986); doi: 10.1117/12.964135
Show Author Affiliations
Goffreao G. Pieroni, University of Houston (United States)
Olin G. Johnson, University of Houston (United States)

Published in SPIE Proceedings Vol. 0635:
Applications of Artificial Intelligence III
John F. Gilmore, Editor(s)

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