摘要
在瞬变电磁法数据处理中,借鉴小波分析的"自适应性"和"数学显微镜性质"的特点,提出了特殊的TEM数据二维小波变换处理方法和流程,并编制了可视化处理软件,其核心是利用计算出的异常Lipschiz指数α的正负变化区分正常场和异常场,从而有效地从TEM数据中提取纯异常。选取某铜镍矿上实测的TEM资料进行了处理,获得了令人满意的效果。
Based on 'self-adaptivity' and 'mathematical microscope nature' of wavelet analysis in data-processing of the transient electromagnetic method, this paper has put forward the processing method and flow chart for two-dimensional wavelet transform of special TEM data, and compiled visualized processing software. The core of this technique lies in calculating the positive and negative variations of Lipschiz indexαfor distinguishing the normal field from the anomalous field so as to effectively extract pure anomalies from the TEM data. The processing of the measured TEM data from a Cu-Ni deposit has yielded satisfactory result.
出处
《物探与化探》
CAS
CSCD
2004年第4期320-322,共3页
Geophysical and Geochemical Exploration
关键词
瞬变电磁法
小波变换
数据处理
transient electromagnetic method
wavelet transform
data processing
