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Digital filters applications on aeromagnetic data for identification of hidden objects
Bulletin of Engineering Geology and the Environment ( IF 4.2 ) Pub Date : 2021-01-16 , DOI: 10.1007/s10064-020-02067-4
M. A. Fkirin , M. A. S. Youssef , M. F. El-Deery

The hidden objects are located, as sixteen objects (anomalies) on the reduction to magnetic pole data (RTP). The follow-up and identification of these objects by applying several digital filters, as upwarding continuation at different level, then the horizontal derivative (HD) and vertical derivative (VD). Accordingly, the edge detection filter techniques are dependent on the tilt derivative (horizontal, vertical derivatives) and the tilt angle. This study shows closing to the basic dykes (shallow anomalies) that imprinted in the RTP map and the upward continuation maps at shallow levels. The residual features are mostly starting to disappear gradually in the upward continuation maps at intermediate and deeper levels. The last upwarding maps illustrate the penetrated roots of these bodies to deep levels (deep anomalies). The advanced filter technique of edge detection is the enhanced total horizontal derivative of the tilt angle (ETHDR). This study delineates and compares the hidden objects by applying the different filter techniques, as the analytical signal (AS), first vertical derivative (FVD), total horizontal derivative (THDR), tilt angle (TA), horizontal tilt angle (TDX), and ETHDR. The applied derivative-based filters, as ETHDR, produce more detailed results for the shallower and deeper magnetized structures. The compared filter results such as TA, TDX, and ETHDR give sharp edges of the magnetized sources (hidden objects). Quantitatively, the determined depths have been evaluated, using the 2D modeling algorithm. The depths and relief of the basement surface across eight profiles are defined, and the depths and shapes of the hidden objects are outlined. Meanwhile, magnetic susceptibility contrasts of the hidden objects are varied with different expanding shapes and subsurface depths.



中文翻译:

数字滤波器在航磁数据上的应用,用于识别隐藏物体

隐藏的对象作为十六个对象(异常)位于还原为磁极数据(RTP)的位置。通过应用几个数字滤波器对这些对象进行跟踪和识别,以不同水平的向上连续,然后是水平导数(HD)和垂直导数(VD)。因此,边缘检测滤波器技术取决于倾斜导数(水平,垂直导数)和倾斜角。这项研究表明,接近于印在RTP图上的基本堤(浅异常)和浅层上的向上连续图。残余特征大部分开始在中间和深层的向上连续图中逐渐消失。最后一个向上的地图将这些物体穿透的根部显示到深层(深异常)。边缘检测的高级滤波技术是倾斜角(ETHDR)的增强的总水平导数。这项研究通过应用不同的滤波技术来描绘和比较隐藏对象,例如分析信号(AS),一阶垂直导数(FVD),总水平导数(THDR),倾斜角(TA),水平倾斜角(TDX),和ETHDR。所应用的基于导数的滤波器(如ETHDR)对于较浅和较深的磁化结构产生更详细的结果。比较后的滤波器结果(例如TA,TDX和ETHDR)会给磁化源(隐藏的物体)提供清晰的边缘。使用2D建模算法对确定的深度进行了定量评估。定义了地下室在八个轮廓上的深度和凹凸,并概述了隐藏对象的深度和形状。

更新日期:2021-01-18
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