基于平移不变量小波的全张量重力梯度数据滤波（英文）

发布时间：2018-06-06 04:01

本文选题：全张量重力梯度 + 滤波　；参考：《Applied Geophysics》2017年04期

【摘要】：全张量重力梯度(FTG)数据包含大量场源体的细节信息,其滤波处理对异常的反演和解释结果有重要影响,本文提出一种基于平移不变量小波的自适应混合阈值滤波方法,可有效压制随机噪声并保留数据细节信息。建立了新的混合阈值法,根据信号和随机噪声所对应小波系数的能量分布进行滤波。平移不变量小波能有效压制伪吉布斯现象,混合阈值方法相对传统阈值能得到更好的信噪小波系数的分离,同时,根据每个分解尺度上小波系数的统计特性,使用自适应贝叶斯阈值进行小波系数的处理。此外,应用二维离散小波变换直接处理网格数据,可以提高计算效率。模型数据和实测数据处理的结果表明,相对高斯滤波器,本文所提出的方法不仅能有效去除高斯白噪声,还能更好地保留FTG数据的高频细节信息,具有良好的实际应用前景。
[Abstract]:The full Zhang Liang gravity gradient Zhang Liang data packet contains a lot of detail information of the field source, and its filtering processing has an important effect on the inversion and interpretation of the anomaly. In this paper, an adaptive hybrid threshold filtering method based on the translation invariant wavelet is proposed. It can effectively suppress random noise and retain data details. A new mixed threshold method is established to filter the energy distribution of wavelet coefficients corresponding to the signal and random noise. The translation invariant wavelet can suppress the pseudo-Gibbs phenomenon effectively. Compared with the traditional threshold method, the mixed threshold method can obtain better separation of the signal-noise wavelet coefficients. At the same time, according to the statistical characteristics of the wavelet coefficients on each decomposition scale, Adaptive Bayesian threshold is used to process wavelet coefficients. In addition, the computational efficiency can be improved by using 2D discrete wavelet transform to process grid data directly. The results of model data and measured data processing show that compared with Gao Si filter, the proposed method can not only effectively remove the white noise of Gao Si, but also retain the high-frequency detail information of FTG data. It has a good prospect of practical application.
【作者单位】：吉林大学地球探测科学与技术学院;国家海洋局第二海洋研究所;国家海洋局海底科学重点实验室;
【基金】：supported by the National Key Research and Development Plan Issue(Nos.2017YFC0602203 and2017YFC0601606) the National Science and Technology Major Project Task(No.2016ZX05027-002-003) the National Natural Science Foundation of China(Nos.41604089 and 41404089) the State Key Program of National Natural Science of China(No.41430322) the Marine/Airborne Gravimeter Research Project(No.2011YQ12004505) the State Key Laboratory of Marine Geology,Tongji University(No.MGK1610) the Basic Scientific Research Business Special Fund Project of Second Institute of Oceanography,State Oceanic Administration(No.14275-10)
【分类号】：P631.1

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