A tree automaton system of syntactic pattern recognition for the recognition of seismic patterns

Kou-Yuan Huang, T. H. Sheen

研究成果: Paper同行評審

摘要

In a seismogram, certain structural seismic patterns always exist. So syntactic (structural) pattern recognition is proposed to recognize seismic patterns. In this study, error-correcting tree automata techniques of syntactic pattern recognition are proposed to recognize seismic patterns in the seismogram. A block diagram of a tree automaton system is presented. The system includes two parts. The training part transforms training patterns into tree grammar. The tree grammar is expandable by using grammatical inference and learning procedure on the tree grammar of training patterns. Error-correcting tree automata of syntax analysis are constructed from tree grammar. The recognition part of the system analyzes input seismograms and generates recognition results. Initially, the input seismogram is skeletonized by thinning algorithms, followed by pattern segmentation, primitive recognition, and tree representation construction procedures. Each seismic pattern is represented by a tree representation. Finally, error-correcting tree automata can recognize each input seismic pattern. The analyzed 2-D synthetic seismic patterns are bright spot, pinch-out, flat spot, gradual sea level fall, and gradual sea level rise patterns. From the experimental results, the tree approach for the recognition of seismic patterns is very encouraging and very important in automatic seismic pattern interpretation.

原文English
頁面183-187
頁數5
DOIs
出版狀態Published - 1 1月 1986
事件1986 Society of Exploration Geophysicists Annual Meeting, SEG 1986 - Houston, United States
持續時間: 2 11月 19866 11月 1986

Conference

Conference1986 Society of Exploration Geophysicists Annual Meeting, SEG 1986
國家/地區United States
城市Houston
期間2/11/866/11/86

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