Detection of bright spots in the pinchout pattern using tree classifiers

Kou-Yuan Huang, King Sun Fit, Zoung Shan Lin

研究成果: Paper同行評審

摘要

The tree classification method is proposed for the detection of bright spots in the pinchout pattern. Envelope, instantaneous frequency, and polarity are used as the features. Envelope is selected as the first-level feature, and instantaneous frequency is selected as the second-level feature. An algorithm for the automatic selection of the training traces is proposed. A nonsupervised clustering analysis is performed by using envelope and instantaneous frequency as the features. After determining the tree classifier of envelope and instantaneous frequency from training traces, a classification experiment is then performed on the seismogram of the pinchout pattern. Using these intermediate classification results, polarity is computed and bright spots are detected if the hypothesis is satisfied. The classification result shows that the proposed method can be used to improve automatic seismic interpretation.

原文English
頁面482-484
頁數3
DOIs
出版狀態Published - 1 1月 1984
事件1984 Society of Exploration Geophysicists Annual Meeting, SEG 1984 - Atlanta, United States
持續時間: 2 12月 19846 12月 1984

Conference

Conference1984 Society of Exploration Geophysicists Annual Meeting, SEG 1984
國家/地區United States
城市Atlanta
期間2/12/846/12/84

指紋

深入研究「Detection of bright spots in the pinchout pattern using tree classifiers」主題。共同形成了獨特的指紋。

引用此