Synchronous and hierarchical seismic pattern detection using simulated annealing

Kou-Yuan Huang*, Ying Liang Chou

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

The synchronous system and the hierarchical system are proposed by using simulated annealing for the detection of lines and hyperbolas in a one-shot seismogram. The synchronous system can detect the patterns in one step. The hierarchical detection procedures are class by class, then pattern by pattern. The equation of hyperbola is defined under translation and rotation. The distance from all points to all patterns is defined as the error. The proposed simulated annealing parameter detection system can search a set of parameter vectors for the global minimal error. In the seismic experiments, both of two systems can well detect line of direct wave and hyperbola of reflection wave in the simulated one-shot seismogram and the real seismic data, but the hierarchical system can converge faster. The results of seismic pattern detection can improve seismic interpretation and further seismic data processing.

Original languageEnglish
Title of host publication2008 IEEE International Geoscience and Remote Sensing Symposium - Proceedings
Edition1
DOIs
StatePublished - 1 Dec 2008
Event2008 IEEE International Geoscience and Remote Sensing Symposium - Proceedings - Boston, MA, United States
Duration: 6 Jul 200811 Jul 2008

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)
Number1
Volume2

Conference

Conference2008 IEEE International Geoscience and Remote Sensing Symposium - Proceedings
CountryUnited States
CityBoston, MA
Period6/07/0811/07/08

Keywords

  • One-shot seismogram
  • Seismic pattern
  • Simulated annealing

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    Huang, K-Y., & Chou, Y. L. (2008). Synchronous and hierarchical seismic pattern detection using simulated annealing. In 2008 IEEE International Geoscience and Remote Sensing Symposium - Proceedings (1 ed.). [4779140] (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 2, No. 1). https://doi.org/10.1109/IGARSS.2008.4779140