基于压缩并行非局部均值滤波的地质雷达噪声压制算法  

GPR Noise Suppression Algorithm Based on Compressed Parallel Non-local Mean Filtering Method

作　　者：崔亚彤 王胜侯 李金伟 吴宇豪 梁思维 马振宁 Cui Yatong;Wang Shenghou;Li Jinwei;Wu Yuhao;Liang Siwei;Ma Zhenning(Tianjin Survey Design Institute Group Co.,Ltd,Tianjin 300191,China;School of Earth Resources,China University of Geosciences,Wuhan Hubei 430074,China;School of Geophysics and Information Technology,China University of Geosciences,Beijing 100083,China)

机构地区：[1]天津市勘察设计院集团有限公司,天津300191 [2]中国地质大学资源学院,湖北武汉430074 [3]中国地质大学地球物理与信息技术学院,北京100083

出　　处：《工程地球物理学报》2023年第6期825-834,共10页Chinese Journal of Engineering Geophysics

基　　金：北京市自然科学基金面上项目(编号:8212016)。

摘　　要：地质雷达数据的质量对于数据处理以及后续地质解释工作起着至关重要的作用。当雷达数据受到随机噪声严重污染时,有效信号将被大量掩盖。常规非局部均值滤波方法可以有效地压制随机噪声,该方法数据计算复杂度大,因此在大型地质雷达数据处理应用中具有局限性。本文给出了一种基于非局部均值滤波的自适应数据压缩并行去噪算法,该方法基于数据积分,利用数据中心对称性,构成了数据压缩算法,降低了计算复杂度。通过计算相似度标准差,实现了自适应滤波参数估计算法,进一步提高去噪效果。通过引入并行算法,进一步提高了计算效率。在简单模型数据和复杂模型数据测试中,通过对比平均均方根误差与平均信噪比,本文方法去噪效果优于其他方法,在阿拉巴马州多芬岛的实际数据的测试中,本文方法计算时间为9.7 s,计算效率明显优于常规非局部均值滤波算法,验证了该方法的可行性、有效性。The quality of ground penetrating radar data plays an important role in data processing and subsequent geological interpretation.When radar data is seriously polluted by random noise,the effective signal will be largely masked.The traditional non-local mean filtering can suppress random noise effectively,but it is limited in the application of large-scale data processing because of its high computational complexity.In this paper,an adaptive data compression parallel denoising algorithm based on non-local mean filtering method is presented.Based on data integration,the algorithm uses data center symmetry to form a data compression algorithm,which reduces the computational complexity.By calculating the standard deviation of similarity,an adaptive filter parameter estimation algorithm is implemented to further improve the denoising effect.By introducing parallel algorithm,the computational efficiency is further improved.In the test of simple model data and complex model data,the denoising effect of the proposed method is better than other methods after comparing the mean root square error and the mean signal-to-noise ratio.In the test of actual data in Dauphin Island,Alabama,the calculation time of the proposed method is 9.7 seconds,significantly better than the conventional non-local mean filtering algorithm,which verifies the feasibility and effectiveness of the proposed method.

关 键 词：地质雷达 数据压缩算法 自适应参数估计算法 随机噪声压制 

分 类 号：P631.3[天文地球—地质矿产勘探]