首页> 中文期刊> 《科学技术与工程》 >位场数据去噪方法研究及其在虎林盆地中的应用

位场数据去噪方法研究及其在虎林盆地中的应用

         

摘要

在详细讨论经典位场数据去噪方法的基础上,深入研究小波分析方法的去噪原理及其在位场数据去噪中的应用.首先构建二维矩形重力高密度体模型,并将三点圆滑法、向上延拓法、全局阈值小波分析方法及局部阈值小波分析方法应用到二维模型重力异常的杂噪数据中.模型试算结果表明,与其它三种方法相比,具有灵活的阈值选择机制的局部阈值小波分析方法能够在较好地保留有效信息的同时,较彻底地去噪;其次将三点圆滑法、向上延拓法及局部阈值小波分析法应用到虎林盆地两条剖面测线数据处理中,并详细地分析了处理结果;最后应用局部阈值小波分析方法对虎林盆地平面实测数据进行去噪处理并解释,将虎林盆地划分为8个二级构造单元.%The classsical denoising methods of potential field data are discussed detailed in this paper,and the wavelet denoising principal and its application in the potential field are studied in depth.Firstly,2D high-density body is built.Three-point smooth-method,upward continuation method,global threshold wavelet analysis and the partial threshold wavelet analysis method are applied in the noisy data.The results indicated that the partial threshold wavelet analysis which is used to denoise the noisy data is better then others.With the flexible threshold choosing selection mechanism,the partial threshold wavelet analysis method can retain more effective information and denoise the noise afond.Secondly,three-point smooth-method,upward continuation method and partial threshold wavelet analysis are applied in two profiles data.The results are studied detailed.Finally,partial threshold wavelet analysis method is applied in the plane data of Hulin Basin.Hulin Basin is divided into eight second level tectonic units.

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