DocumentCode :
387847
Title :
1-D and 2-D syntactic pattern recognition for the detection of bright spots
Author :
Huang, Kou-Yuan ; Fu, King-Sun
Author_Institution :
University of Houston
Volume :
10
fYear :
1985
fDate :
31138
Firstpage :
176
Lastpage :
179
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. The experiment on relative-amplitude real stacked seismograms is presented. The classification results are quite good and the proposed method can be used to improve seismic interpretation.
Keywords :
Encoding; Error probability; Frequency; Gaussian noise; Pattern recognition; Quantization; Reflection; Signal to noise ratio; Tellurium; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '85.
Type :
conf
DOI :
10.1109/ICASSP.1985.1168427
Filename :
1168427
Link To Document :
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