使用Varimax范数方法改进和识别势场的边际数据

Pub Date : 2022-03-31 DOI:10.15233/gfz.2022.39.1
Jiayong Yan, Xu Wang, Yongqian Zhang, Chong Zhang, Fan Luo, Zhihui Wang
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引用次数: 0

摘要

势场数据(重磁数据)的边缘检测和增强技术是寻找深层异常位置的有用工具。近年来,这些方法,包括基于导数的滤波器、局部相位滤波器和基于统计的技术,越来越广泛地应用于解决地质问题,如识别地下断层、接触和其他构造特征。然而,对于噪声较大的势场数据,一般方法可能无法提供有意义的结果。为了克服这些缺点,我们提出了一种带移动窗口的变最大值范数(VariNorm)方法来估计位场数据的位置。对铜陵矿区的综合数据和现场数据进行的试验表明,该方法不需要进行任何阶次的水平或垂直导数计算,具有抗噪声性,在强噪声环境下优于其他传统方法。
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Korištenje Varimax Norm metode za poboljšanje i prepoznavanje rubnih podataka polja potencijala
Edges detection and enhancement techniques of potential field data (gravity and magnetic data) are useful tools for finding the locations of anomalies at depth. Recently, these methods, including derivative-based filters, local phase filters and statistics-based techniques, have been increasingly widely used in solving geology problems, such as identifying subsurface faults, contacts, and other tectonic features. Nevertheless, general methods may not provide meaningful results for potential field data with heavy noise. To overcome these disadvantages, we present a new method named Varimax Norm (VariNorm) with a moving window to estimate the location of potential field data. Tests performed on the synthetic and field data in Tonling ore district show that the method does not require horizontal or vertical derivative calculations of any order, resists noise in nature and outperforms other traditional methods in a strong noise environment.
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