Application of Blind Wavelet Algorithm to De-Noising of the Metallic Ore Deposit Seismic Data
详细信息
- 责任者：Zhou Zhongli (The Key Laboratory of Mathematical Geology in Sichuan ; Chengdu University of Technology ; Chengdu 610059 ; China) ; Qin Feilong
- 刊名：Journal of Chengdu University of Technology
- 出版年：2013
- 卷期：40(2)
- 关键词：小波变换 ; wavelet transform ; 地震勘探 ; seismic exploration
- 页码：p.120-124
- 图表：illus., 13 refs.
- 分类号：1600
- issnNo：ISSN1671-9727
- isbnNo：CN51-1634/N
摘要
Based on the wavelet analysis and blind source separation, this paper proposes a blind wavelet algorithm to eliminate the metal ore deposit seismic data noises. This experimental result shows that the blind wavelet algorithm can eliminate various interference noises effectively.Then,the metal ore deposit seismic data texture is clear,and the signal-to-noise ratio of the seismic data section increases significantly.
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