小波分析在磁异常深部信息提取中的应用

Application of wavelet analysis in deep information extraction of magnetic anomaly

小波分析方法具有良好的时频局部化特性,可以将信号分解成各种不同的频率或尺度成分有效地从信号中提取信息。在高精度磁测数据处理中,利用小波多尺度分析法能够将异常精细地分解到多个不同尺度空间上,提取不同尺度和深度的异常特征,并用对数功率谱分析方法来计算其所代表的场源深度,结合地质等信息充分分析异常,以判断深部场源的赋矿信息。

The wavelet analysis method has good characteristics of time-frequency localization,signals can be broken down into various of different frequencies or scales by it,and it can effectively extracts information from the signal.In the processing of high precision magnetic measurement data,wavelet multi-scale analysis method can be used to decompose the signal anomaly into several different scale spaces,extract abnormal features of different scales and depths.The logarithmic power spectrum analysis method is used to calculate the field source depth,anomalies are fully analyzed in combination with geological information,so as to judge the ore-bearing information of deep field source.