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首页> 外文期刊>Iranian Journal of Science and Technology >A new edge detection method based on the analytic signal of tilt angle (ASTA) for magnetic and gravity anomalies
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A new edge detection method based on the analytic signal of tilt angle (ASTA) for magnetic and gravity anomalies

机译:基于倾斜角分析信号(ASTA)的磁和重力异常边缘检测新方法

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摘要

In order to obtain maximum information from magnetic and gravity anomaly maps, application of an edge detection method is necessary. In this regard two commonly used methods are derivative filters and local phase filters. In this paper, a MATLAB code is expanded to combine an analytic signal filter and a tilt angle filter as a new edge detection filter called ASTA filter. This method was demonstrated on synthetic magnetic data from 3 models and also on real magnetic and gravity data from southwest England. Findings show that the boundaries of a causative body are enhanced more accurately using this new filter, compared with other edge detection filters. The source code in MATLAB format is available from the authors on request.
机译:为了从磁异常图和重力异常图获得最大信息,必须应用边缘检测方法。在这方面,两种常用的方法是导数滤波器和局部相位滤波器。在本文中,将MATLAB代码扩展为将分析信号滤波器和倾斜角滤波器组合在一起,作为一种称为ASTA滤波器的新型边缘检测滤波器。在来自3个模型的合成磁数据以及来自英格兰西南部的真实磁和重力数据中都证明了该方法。研究结果表明,与其他边缘检测过滤器相比,使用这种新过滤器可以更准确地增强病因体的边界。作者可应要求提供MATLAB格式的源代码。

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