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.
Keywords
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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Keskes, N., Boulanuar, A., and Faugeras, O., Application of Image Analysis Techniques to Seismic Data, Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing, Paris, 1982, pp.855–858.
Kubichek, R.F., and Quincy, E.A., Statistical Modeling and Feature Selection for Seismic Pattern Recognition, Pattern Recognition, vol. 18, No.6, pp. 441–448, 1985.
Huang, K.Y., Fu, K.S., Sheen T.H., and Cheng, S.W., Image Processing of Seismograms: (A) Hough Transformation for the Detection of Seismic Patterns; (B) Thinning Processing in the Seismogram, Pattern Recognition, vol.18, No.6, pp. 429–440,1985.
Simmons, R.G., Representing the Reasoning about Change in Geologic Interpretation, M. Sc. Thesis, MIT, Cambridge, Ma., USA, 1983.
Pitas, I., and Venetsanopoulos, A.N., Towards a Knowledge-Based System for Automated Geophysical Interpretation of Seismic Data (AGIS), Signal Processing, Vol.13, pp. 229–253,1987.
Jacobs, J.A.C., The Use of Al-Tecniques in Seismic Interpretation, Report TNO-lnstitute of Applied Geoscience, Delft, The Netherlands, Talk presented at Hamburg, January 13, 1988.
Ballard, D.H., and Brown, C.M., Computer Vision, Prentice Hall, Englewood Cliffs, NJ, USA, 1984.
Haralick, R.M., Statistical and Structural Approaches to Texture, Proceedings of the IEEE, vol.67, No.5, pp. 786–804,1979.
Love, P.L, and Simaan, M., Seismic Signal Character Recognition Using Texture Analysis Techniques, Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing, San Diego, 1984, pp. 48.12.1–48.12.4.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1989 Springer-Verlag Wien
About this chapter
Cite this chapter
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
Download citation
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
eBook Packages: Springer Book Archive