• DocumentCode
    484121
  • Title

    Synchronous and Hierarchical Seismic Pattern Detection Using Simulated Annealing

  • Author

    Huang, Kou-Yuan ; Chou, Ying-Liang

  • Author_Institution
    Dept. of Comput. Sci., Nat. Chiao Tung Univ., Hsinchu
  • Volume
    2
  • fYear
    2008
  • fDate
    7-11 July 2008
  • 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.
  • Keywords
    geophysical equipment; geophysics computing; seismic waves; seismology; seismometers; simulated annealing; global minimal error; hierarchical seismic pattern detection; hyperbola equation; reflection wave; seismic data processing; seismic experiments; seismic interpretation; simulated annealing; simulated one-shot seismogram; synchronous system; Computational modeling; Computer science; Computer simulation; Data preprocessing; Data processing; Equations; Hierarchical systems; Neural networks; Reflection; Simulated annealing; one-shot seismogram; seismic pattern; simulated annealing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International
  • Conference_Location
    Boston, MA
  • Print_ISBN
    978-1-4244-2807-6
  • Electronic_ISBN
    978-1-4244-2808-3
  • Type

    conf

  • DOI
    10.1109/IGARSS.2008.4779140
  • Filename
    4779140