Decision-theoretic and syntactic pattern recognition for the detection of bright spots

Kou-Yuan Huang, K. Fu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Decision-theoretic and syntactic pattern recognitions are applied to the two-dimensional seismogram for the detection of bright spots. Tree classification technique is used in the decision-theoretic apporach. Because of frequency attenuated effect in a seismogram, partitioning-method and tree classification are used to detect the candidate bright spots. In the syntactic pattern recognition, the relation between error probability and Levenshtein distance is proposed. Three kinds ot string distance computation are proposed to test the continuity of a bright spot pattern. The experiment on a relative-amplitude real stacked seismogram xs presented The classification results are quite good and the proposed method can be used to improve seismic interpretation.

Original languageEnglish
Title of host publicationOffshore Technology Conference, OTC 1985
PublisherOffshore Technology Conference
Pages423-429
Number of pages7
ISBN (Electronic)9781613990780
DOIs
StatePublished - 1 Jan 1985
Event17th Annual Offshore Technology Conference, OTC 1985 - Houston, United States
Duration: 6 May 19859 May 1985

Publication series

NameProceedings of the Annual Offshore Technology Conference
Volume1985-May
ISSN (Print)0160-3663

Conference

Conference17th Annual Offshore Technology Conference, OTC 1985
CountryUnited States
CityHouston
Period6/05/859/05/85

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