Edge enhancement of potential field data using spectral moments
Edge enhancement of potential field data using spectral moments
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DOI：
10.1190/geo2014-0430.1
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发表时间：
2016
期刊：
影响因子：
3.3
通讯作者：
Yanyun Sun;Wencai Yang;Xiangzhi Zeng;Zhiyong Zhang
中科院分区：
文献类型：
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作者：
Yanyun Sun;Wencai Yang;Xiangzhi Zeng;Zhiyong Zhang
位场数据的边缘增强有助于地质解释，位场上的线形结构经常指示地下断层、接触和其他构造特征。因此，人们提出了各种边缘增强方法来定位边缘，其中大多数都是基于场的水平或垂直导数。然而，这些方法有几个局限性，包括探测到的边界较厚，对低幅度异常的响应模糊，以及对噪声的敏感性。提出了基于二阶谱矩及其统计不变量的位场异常边缘检测的谱矩方法。我们使用合成重力数据、EGM-2008重力数据和折合到极点的总磁场对谱矩方法进行了评估。与其他边缘增强滤波方法如总水平导数(TDX)、轮廓曲率、总水平梯度幅值的曲率、增强因子等相比，该方法具有更好的性能.
ABSTRACTEdge enhancement in potential-field data helps geologic interpretation, where the lineaments on the potential-field frequently indicate subsurface faults, contacts, and other tectonic features. Therefore, a variety of edge-enhancement methods have been proposed for locating edges, most of which are based on the horizontal or vertical derivatives of the field. However, these methods have several limitations, including thick detected boundaries, blurred response to low-amplitude anomalies, and sensitivity to noise. We have developed the spectral-moment method for detecting edges in potential-field anomalies based on the second spectral moment and its statistically invariable quantities. We evaluated the spectral-moment method using synthetic gravity data, EGM-2008 gravity data, and the total magnetic field reduced to the pole. Compared with other edge-enhancing filters, such as the total horizontal derivative (TDX), profile curvature, curvature of the total horizontal gradient amplitude, enhancement...