Abstract

Determining the source edges is a frequently requested task in the analysis of potential fields. However, the edge detection methods have some drawbacks or shortcomings, for example, blurred responses to weak amplitude anomalies, the estimated peaks over the edges are low in gradient or bring out overestimated edges in the resulting maps. In this paper, a new method based on an arcsine function using the ratio of the vertical gradient to the total gradient of the amplitude of the horizontal gradient field is introduced for outlining the source edges. The validity of the method is tested on both synthetic and real data and the edge detection results are compared with those detected from some other existing methods. The results from the proposed filter provide more accurate and higher resolution edges, and can avoid producing the spurious edges in the results.

摘要

确定源边是潜在领域分析中经常要求的任务。然而，边缘检测方法有一些缺点或缺点，例如，对弱幅度异常的响应模糊，边缘上的估计峰值梯度低或在结果图中带出高估的边缘。本文介绍了一种基于反正弦函数的新方法，该方法利用水平梯度场幅度的垂直梯度与总梯度之比来勾画源边缘。在合成数据和真实数据上测试了该方法的有效性，并将边缘检测结果与其他一些现有方法的检测结果进行了比较。所提出的滤波器的结果提供了更准确和更高分辨率的边缘，