模糊嵌套多级中值滤波方法及其在地震数据处理中的应用

多级中值滤波器在地震数据处理应用中，其滤波长度越大，消噪效果越好，但同时也会破坏有效信息. 如果为了保护有效信息而减少滤波长度，又会造成大量的噪声不能消除. 本文提出一种新的模糊嵌套多级中值滤波器，设计一个阀值作为判断参数，使滤波器能够在消除随机噪声时采用长滤波器滤波，而在保留有效信息时采用短滤波器滤波，从而既能很好地消除随机噪声，又能最大限度地保护有效信息，保留有效信息的细节结构. 经过模型分析和实际资料处理都取得了很好的效果.

A new fuzzy nesting multilevel median filter and its application to seismic data processing

In the application of multilevel median filter to seismic data processing,it is more effective to use a longer wavelength in removing the random noises,but the longer wavelength has a more damaging effect to the data,and is detrimental in preserving the details of the signals.This paper brings forward a new fussy nesting multilevel median filter based on the multilevel median filter concept.The new filter uses a long wavelength for the filter when removing the random noises,and uses a short wavelength when preserving the details of the signals.Therefore,we can remove the random noises yet are still able to preserve the details of the signals.We have had very good results from both model analyses and actually processing the data.