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小波变换在煤田高分辨地震资料处理中的应用研究
引用本文:白志信,金丹峰,朱光明,高静怀,王玉贵.小波变换在煤田高分辨地震资料处理中的应用研究[J].中国煤田地质,1996(Z1).
作者姓名:白志信  金丹峰  朱光明  高静怀  王玉贵
作者单位:中国煤田地质总局物探院,西安石油学院
摘    要:研究了小波变换的定义及小波变换的性质,构造了适合于我们要求的子波序列。用小波变换作一维滤波克服了传统的窗口傅里叶方法易出现的吉布斯效应。用小波变换的多分辨率成像技术适当地选择小波函数和伸缩尺度参数,让薄层的局部化特征明显,提高地震剖面对薄层的分辨率,让薄层的局部特征明显地表现出来,精确地进行分析判定。

关 键 词:小波变换,伸缩尺度,一维滤波,多分辨率,薄层,局部化

APPLICATION OF WAVELET TRANSFORM TO HIGH RESOLUTION PROCESSING OF COAL SEISMIC DATA
Bai Zhixin ,Jin Danfeng.APPLICATION OF WAVELET TRANSFORM TO HIGH RESOLUTION PROCESSING OF COAL SEISMIC DATA[J].Coal Geology of China,1996(Z1).
Authors:Bai Zhixin  Jin Danfeng
Abstract:The definition and characters of wavelet transform are researched,and wavelet sequence isconstructed according to the requirements,Application of wavelet transform to ID filtering overcomesthe Gibus effects easy to occur in the conventional Fourier method. The technology of high resolutionimaging of the wavelet transform can be applied to choose properly the wavelet function and parameterof extension scale,make obvious localization features of the thin layer,and improve the resolution ofseismic section of thin laver so that the localization features of the thin layer can be shown clearly tomake the accurate analysis and determination.
Keywords:wavelet transform  extension scale  ID filtering  high resolution  thin layer  localization
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