摘要
实测磁异常通常含有明显的噪声干扰,常用的滑动窗口平均滤波法虽然有明显的去噪效果,但对有意义的异常信号也会造成明显的幅值和宽度上的失真.S-G平滑滤波法具有异常形态保真的优点,但在平稳区的去噪效果欠佳.本文提出异常评价识别具体方法,并据此将平均法与S-G法动态加权融合,从而实现了既能对异常区进行信号的保护,又能在全区达到有效去噪的目的,为磁异常的有效去噪形成简单而有效的方法.
Noise is a notable feature of real magnetic data. The method of moving window averaging（named as AV filter） can generally get good results for denoising, but some distortion of widths and heights of anomalies can also appear in the processing. Another method called S-G filter has the ability of anti-aliasing of the anomalies, but its performance in denoising of data in the stable part falls down as compared with the AV filter. Based on the recognizing method of anomalies proposed in this paper, a weighted combination of AV and S-G filters was fulfilled and the purpose of anti-aliasing of the anomalies was achieved with effective denoising of data. The example shows that the process is simple, easy and stable with good effects.
出处
《地球物理学报》
SCIE
EI
CAS
CSCD
北大核心
2009年第11期2893-2902,共10页
Chinese Journal of Geophysics
基金
国家863计划项目(2007AA06Z134)
高等学校学科创新引智计划(B07011)资助
关键词
磁异常
去噪
滑动窗口
加权
Magnetic anomalies, Denoising, Moving window, Weighting
