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首页> 外文期刊>Earth, planets and space: EPS >Extraction of lineaments from gravity anomaly maps using the gradient calculation: Application to Central Anatolia
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Extraction of lineaments from gravity anomaly maps using the gradient calculation: Application to Central Anatolia

机译：使用梯度计算从重力异常图中提取线状体：在安那托利亚中部的应用

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摘要

Linear anomalies are important in the interpretation of gravity and magnetic data because they indicate some important structural features. In this study, a method is proposed to extract lineaments which may be difficult to recognize. It is based on the convolution between the templates obtained from the second horizontal derivative of the theoretical anomaly due to a truncated horizontal plate and the gravity anomaly. Local maxima of the gradient magnitude determine lineaments in a gravity anomaly map. The method is used in the edge detection of geological structures closer to the surface, which are masked by other structures with various depths and dimensions. A source code in Matlab format for the proposed algorithm is implemented. Firstly, it was tested on synthetic examples and satisfactory results were obtained. Secondly, it was tested on gravity-anomaly maps of the Tuzg?lü (Salt Lake) basin in Central Anatolia, Turkey. Subsequently, the proposed algorithm and normalized standard deviation (NSTD), another edge-detection filter, were evaluated together to obtain the horizontal location of potential-field source boundaries. A visual evaluation of the outputs was carried out and the results compared with each other. These examples demonstrate that the proposed method can be used in the visual interpretation of gravity-anomaly maps in order to detect geological features such as major and minor faults
机译：线性异常在解释重力和磁数据方面很重要，因为它们表明了一些重要的结构特征。在这项研究中，提出了一种提取可能难以识别的谱线的方法。它基于从水平截断的理论异常的二阶水平导数获得的模板与重力异常之间的卷积。梯度幅度的局部最大值确定重力异常图中的线条。该方法用于更靠近地面的地质结构的边缘检测，这些结构被具有不同深度和尺寸的其他结构掩盖。实现了所提出算法的Matlab格式的源代码。首先，在合成实施例上进行了测试，并获得了满意的结果。其次，在土耳其中部安纳托利亚的图兹格鲁（盐湖）盆地的重力异常图上进行了测试。随后，一起对提出的算法和另一个边缘检测滤波器归一化标准偏差（NSTD）进行了评估，以获得势场源边界的水平位置。对输出进行视觉评估，并将结果相互比较。这些例子表明，所提出的方法可以用于重力异常图的可视化解释，以检测诸如主要和次要断层的地质特征。

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