Data Mining and Knowledge Discovery Based on Denoising Algorithms in Geology Exploration

摘要：

　　There are mass data in geology exploration,but it is vital to find useful information or knowledge from these data.This paper is concemed with the analysis of the seismic data by the multi-channel wiener filter algorithm and the wavelet denoising method using neighboring coefficients.Known the velocity of reflection event,utilizes the resemblance of reflection signals in each seismic trace,the multi-channel wiener filter algorithm is effective in enhance reflection events and suppress the random noise.But the wavelet denoising methods dont need any assuming conditions.The computed simulations of these two kinds of algorithms are provided to prove the availability.

关键词： Data Mining and Knowledge Discovery Denoising Algorithms Geology Exploration Multi-channel Wiener Filter Wavelet Denoising

作者: Hao Xue Ren Lin Li Na Huang Zhicheng

作者单位: Information Countermeasure Department, Aviation University of Air Force, Changchun 130022 China Department of Network Construction,Jilin Branch,China United Network Communacation limited Company

会议类型: 国际会议

会议名称: 2012 International Conference on Engineering Materials,Geotechnical Engineering and Environmental Engineering(EMGEEE2012)(2012工程材料、岩石工程和环境工程国际会议)

会议地点: 石家庄

会议语种:英文

页码: 640-643

在线出版日期: 2012-10-26（万方平台首次上网日期，不代表论文的发表时间）