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On the Relevance of Global Knowledge for Correlation-Based Seismic Image Interpretation

  • Conference paper
Pattern Recognition (DAGM 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2781))

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Abstract

Matching horizons across faults in seismic data is an application problem arising from the field of structural geology. Automating this task is difficult because of the small amount of local information typical for seismic images. In this paper, we examine the hypothesis that the problem can only be solved satisfactorily by introducing global knowledge in addition to local features. Furthermore, an extension of the current approach is proposed, which aims at computing a throw value for every pixel at a fault.

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© 2003 Springer-Verlag Berlin Heidelberg

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Aurnhammer, M., Tönnies, K. (2003). On the Relevance of Global Knowledge for Correlation-Based Seismic Image Interpretation. In: Michaelis, B., Krell, G. (eds) Pattern Recognition. DAGM 2003. Lecture Notes in Computer Science, vol 2781. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45243-0_48

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  • DOI: https://doi.org/10.1007/978-3-540-45243-0_48

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40861-1

  • Online ISBN: 978-3-540-45243-0

  • eBook Packages: Springer Book Archive

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