Simulated annealing for hierarchical seismic pattern detection

Kou-Yuan Huang*, Ying Liang Chou

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

A Hierarchical system is proposed by using simulated annealing to detect hyperbola in image. The hierarchical detection procedures are patterns by patterns. The equation of hyperbola is defined under translation and rotation. The distance from all points to all patterns is defined as the error. Also we use the minimum error to determine the number of patterns. The proposed simulated annealing parameter detection system can search a set of parameter vectors for the global minimal error. In the seismic experiments, the hierarchical system can well detect line of direct wave and hyperbola of reflection wave in the simulated one-shot seismogram and the real seismic data. The results of seismic pattern detection can improve seismic interpretation and further seismic data processing.

Original languageEnglish
Pages (from-to)869-873
Number of pages5
JournalSEG Technical Program Expanded Abstracts
Volume27
Issue number1
DOIs
StatePublished - 1 Jan 2008

Keywords

  • Interpretation
  • Neural
  • Reflection

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