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自适应加权改进窗口中值滤波
引用本文:龙云,韩立国,邓武斌,巩向博.自适应加权改进窗口中值滤波[J].世界地质,2013,32(2):396-402.
作者姓名:龙云  韩立国  邓武斌  巩向博
作者单位:吉林大学地球科学学院,长春130026
基金项目:深部金属矿混合震源波场模拟与联合成像
摘    要:针对传统的多级二维中值滤波窗口函数及窗口大小对地震数据噪声处理存在影响,提出了一种自适应加权改进窗口多级二维中值滤波器。对传统的多级二维中值滤波窗口函数进行改进,使其具有保护线性和细节特征。在改进窗口函数的基础上,提出了自适应加权函数,加权函数的自适应性对噪声衰减和有效信号的保真奠定了基础,自适应加权改进窗口中值滤波器去除噪声明显。通过理论模型和实际数据处理的对比,表明本方法去除噪声和保护有效信号能力优于传统的二维多级中值滤波器。

关 键 词:自适应中值滤波  随机噪声  去噪  地震数据

Adaptive weighted improved window median filtering
LONG Yun , HAN Li-guo , DENG Wu-bin , GONG Xiang-bo.Adaptive weighted improved window median filtering[J].World Geology,2013,32(2):396-402.
Authors:LONG Yun  HAN Li-guo  DENG Wu-bin  GONG Xiang-bo
Institution:College of Geo-exploration Science and Technology,Jilin University,Changchun 130026,China
Abstract:Window function and window size of traditional multilevel 2D median filter influence the noise processing of seismic data. We propose an adaptive weighted improved window multilevel two-dimensional median filter. The window function of traditional multilevel 2D median filter is improved,which protects linear and minutiae feature. Based on the improvement of the window function,we propose an adaptive weighted function which lays a foundation for the noise attenuation and effective signal fidelity,so adaptive weighted improved window median filter can remove the noise significantly. Through the comparison of the theoretical model to the actual data processing, the results show that the method is superior to traditional 2D multilevel median filter in noise attenuation and effective signal protection.
Keywords:adaptive median filter  random noise  denoise  seismic data
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