线性软阈值方法在直流电法数据处理中的应用

Application of Linear Soft-threshold in Data Processing of the DC Method

在矿井中开展高密度电阻率法工作,由于各种因素的干扰使得观测数据噪声较多,特别是当有用信息的幅度和噪声尺度相差不大时,传统方法的去噪效果都不理想。本文讨论了George E.Leblanc和William A.Morris提出的基于线性软阈值的去噪方法,创新性地将其应用到矿井高密度电阻率法数据处理中。通过实测资料分析,该方法能有效地消除高频随机噪声和特定尺度的噪声,尤其是在处理似尖脉冲的噪声信号时有较好的去噪效果,同时又能较好的保持原有地质信息。

When carrying out the high-density electrical work in the mines,the observational data include much noise due to various factors.Especially,when the range of useful information and the scale of noise do not have distinct differences,the results of traditional de-noising methods are far from satisfactory.The paper discusses the linear-based soft-threshold de-noising methods proposed by George E.Leblanc and William A.Morris,which was innovatively applied to the data processing of high-density resistivity method of the coal mines.Through analyzing the measured data,the method can effectively eliminate the noise contained high-frequency random and specific scales,and especially has a good effect on dealing with spike-like noise,and meanwhile maintains the original geological information.