1-D AND 2-D SYNTACTIC PATTERN RECOGNITION FOR THE DETECTION OF BRIGHT SPOTS.

Kou-Yuan Huang*, King sun Fu

*Corresponding author for this work

Research output: Contribution to journalConference article

Abstract

Syntactic pattern recognition is applied to the seismogram for the detection of bright spots. The calculation between error probability and Levenshtein distance is proposed. Three kinds of string distance computation are proposed to test the continuity of a bright spot pattern. An experiment on relative-amplitude real stacked seismograms is presented. The classification results are quite good and show that the proposed method can be used to improve seismic interpretation.

Original languageEnglish
Pages (from-to)176-179
Number of pages4
JournalICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
DOIs
StatePublished - 1 Dec 1985

Fingerprint Dive into the research topics of '1-D AND 2-D SYNTACTIC PATTERN RECOGNITION FOR THE DETECTION OF BRIGHT SPOTS.'. Together they form a unique fingerprint.

  • Cite this