Detection of bright spots in the pinchout pattern using tree classifiers

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

Research output: Contribution to conferencePaper

Abstract

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.

Original languageEnglish
Pages482-484
Number of pages3
StatePublished - 1 Jan 1984
Event1984 Society of Exploration Geophysicists Annual Meeting, SEG 1984 - Atlanta, United States
Duration: 2 Dec 19846 Dec 1984

Conference

Conference1984 Society of Exploration Geophysicists Annual Meeting, SEG 1984
CountryUnited States
CityAtlanta
Period2/12/846/12/84

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  • Cite this

    Huang, K-Y., Fit, K. S., & Lin, Z. S. (1984). Detection of bright spots in the pinchout pattern using tree classifiers. 482-484. Paper presented at 1984 Society of Exploration Geophysicists Annual Meeting, SEG 1984, Atlanta, United States.