二维盲小波算法在地震资料降噪中的应用  

Application of Two-Dimensional Blind-Wavelet Algorithm to De-Noising of Seismic Data

作　　者：周仲礼[1] 秦飞龙[2] 苏建美[1] 夏欢欢[1] 

机构地区：[1]成都理工大学管理科学学院,四川成都610059 [2]成都理工大学数学地质四川省重点实验室,四川成都610059

出　　处：《国土资源科技管理》2012年第6期101-105,共5页Scientific and Technological Management of Land and Resources

基　　金：中国地质调查局地调项目(1212010916040)

摘　　要：根据小波分析和盲信号分离原理,结合一维盲小波算法在降噪中的应用,构建新的二维盲小波算法在金属矿地震资料噪声降噪中的运用,该算法充分发挥了小波阈值去噪与盲分离去噪的优势。通过所构建的二维盲小波算法对实际的金属矿地震资料进行处理,与金属矿地震资料其他降噪方法作比较,发现二维盲小波算法在金属矿地震资料去噪结果明显,对噪声消除达到理想结果,有利于进行深部金属矿地震勘探。According to the principle of wavelet analysis and blind signal separation, combined with the applications of one- dimensional blind wavelet algorithm in de-noising, a new two-dimensional blind wavelet algorithm is constructed to deal with metal mine noise de-noising. The algorithm gives full play to the advantages of wavelet threshold de-noising and blind source separation de-noising. By building two-dimensional blind wavelet algorithm on the actual metal mine seismic data processing and comparing that with other metal ore de-noising methods, it is found that the two-dimensional blind wavelet algorithm is evident and desirable in the metal mine seismic data de-noising results, which is conducive to deep seismic exploration of metal mine

关 键 词：二维盲小波 地震资料 盲信号分离 小波分析 

分 类 号：P315.63[天文地球—地震学]