Image Understanding Techniques in Geophysical Data Interpretation

  • V. Roberto
  • A. Peron
  • P. L. Fumis
Part of the International Centre for Mechanical Sciences book series (CISM, volume 307)


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.


Texture Analysis Machine Vision Seismic Reflection Seismic Section Seismic Pattern 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Wien 1989

Authors and Affiliations

  • V. Roberto
    • 1
  • A. Peron
    • 1
  • P. L. Fumis
    • 1
  1. 1.Università di UdineUdineItaly

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