Abstract
This papers covers some topics in geophysical signal interpretation, by means of Artificial Intelligence (Machine Vision) techniques.
In particular, the low-level processing modules of a Knowledge-Based System for seismic reflection image understanding are presented, as well as an explanation of their structural and functional characteristics.
Preliminary results are also given and discussed.
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References
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© 1989 Springer-Verlag Wien
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Roberto, V., Peron, A., Fumis, P.L. (1989). Image Understanding Techniques in Geophysical Data Interpretation. In: Pieroni, G.G. (eds) Issues on Machine Vision. International Centre for Mechanical Sciences, vol 307. Springer, Vienna. https://doi.org/10.1007/978-3-7091-2830-5_17
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DOI: https://doi.org/10.1007/978-3-7091-2830-5_17
Publisher Name: Springer, Vienna
Print ISBN: 978-3-211-82148-0
Online ISBN: 978-3-7091-2830-5
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