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探地雷达小波域三维波动方程偏移
  • 期刊名称:地球物理学报
  • 时间:0
  • 页码:566-574
  • 语言:中文
  • 分类:P631[天文地球—地质矿产勘探;天文地球—地质学]
  • 作者机构:[1]中南大学信息物理工程学院,有色资源与地质灾害探查湖南省重点实验室,长沙410083
  • 相关基金:国家自然科学基金项目(60672042)与湖南省科技计划项目(2007FJ4055)联合资助.
  • 相关项目:均匀广谱伪随机电磁法高密度数据二、三维反演成像技术研究
中文摘要:

阐述了矩阵多分辨分析理论中的标准形式与非标准形式,并以Hilbert算子为例,说明了算子多分辨表示的压缩效果,为小波域偏移算法奠定了理论基础.从三维雷达波动方程出发,利用爆炸反射原理和浮动坐标变换,推导出三维探地雷达波动方程差分格式,并通过方程分裂算法及小波多分辨算法,在小波域求解波场外推矩阵,进而得到探地雷达小波域三维波动方程偏移算法,在此基础上,开发了探地雷达小波域偏移处理程序,并把该程序应用于三个球体空洞的3-D正演结果及实际的雷达数据中,通过对比偏移处理前后的雷达资料,得知该三维偏移算法能使3-D正演剖面中的反射波归位、绕射波收敛,极大地提高了雷达剖面的分辨率,有利于探地雷达资料的地质解释.

英文摘要:

This paper elaborated on the standard and nonstandard forms of matrix multi-resolution analysis theory in detail, and taking Hilbert operator as an example, explained the compression result of operator with multi-resolution form. It laid a good theoretical foundation for migration algorithm of wavelets domain. Then, setting out from the three-dimension radar wave equation, and making use of the bursting reflection theory and floating coordinate transform, we have deduced the finite difference format of GPR three-dimension wave equation. Through equation splitting and multi-resolution wavelets theory, and solving the extrapolate matrix of wave field in the wavelets domain, we have also got the migration algorithm of GPR three-dimension wave equation in wavelets domain. Based on this, the authors developed the migration program of GPR three- dimension wave equation, and applied this program to three-dimensional forward modeling result of three spheric caverns and practical GPR data. Through comparing the radar data before and after the migration processing, it is known that this three-dimension migration algorithm could make the reflection wave return to original position, and make the diffraction wave converge in the three-dimension sections. The lateral resolution of radar sections could be highly enhanced, and the migration algorithm could make the radar three-dimension detection more reliable and precise, which is propitious to the geology explanation of GPR data.

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