Detection of source horizontal boundaries is a common feature in the interpretation of magnetic and gravity data. A wide range of derivative- and phase-based methods are available to solve this problem. Here, we compare the effectiveness of the commonly used methods, and introduce a method based on the logistic function and the horizontal gradient amplitude, which shows improved performance as a boundary detection filter. The effectiveness of the proposed filter is demonstrated by evaluating synthetic examples and a real example from the Central Puget Lowland (United States). The main advantage of this method is that it provides high-resolution results, and can avoid producing spurious boundaries in the output maps.

中文翻译：

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使用改进的逻辑过滤器增强势场源边界

源水平边界的检测是磁和重力数据解释中的一个共同特征。可以使用多种基于导数和相位的方法来解决这个问题。在这里，我们比较了常用方法的有效性，并介绍了一种基于逻辑函数和水平梯度幅度的方法，该方法显示出作为边界检测滤波器的改进性能。通过评估合成示例和来自 Central Puget Lowland（美国）的真实示例，证明了所提出的过滤器的有效性。这种方法的主要优点是它提供了高分辨率的结果，并且可以避免在输出地图中产生虚假边界。