Detection of bright spots in seismic signals using tree classifiers

Kou-Yuan Huang*, King Sun Fu

*此作品的通信作者

研究成果: Article同行評審

20 引文 斯高帕斯(Scopus)

摘要

A tree classification method is proposed for the detection of bright spots in seismic signals. Envelope, instantaneous frequency, and polarity are used as the features. From the analysis of zero-phase Ricker wavelets, a tree classification technique is adopted. Bright spots are detected if one of three hypotheses is satisfied. The advantage of using a tree classifier is that it is easy to design and computationally efficient. Because of the frequency attenuation effect in a seismogram, a partitioning-method is introduced in conjunction with the tree classification for the detection of bright spots. Results from simulated and relative-amplitude real stacked seismograms are presented. The classification results show that the proposed method can be used to improve seismic interpretation.

原文English
頁(從 - 到)121-145
頁數25
期刊Geoexploration
23
發行號1
DOIs
出版狀態Published - 1 1月 1984

指紋

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

引用此