Extracting the edges of gravity and magnetic data has been commonly used as an important tool for determining the lineaments of buried structures. There are many edge detectors based on potential field derivatives for highlighting the source edges. The universal restrictions of these detectors are that they cannot produce balanced images, or the results obtained from use of these filters have low resolution. To solve these problems, I introduce a new filter that uses the Heaviside step function of the vertical derivative of the potential field data to detect the source edges. The novel filter is demonstrated on synthetic and real gravity datasets over the Witwatersrand basin (South Africa) and the estimated edges are compared with those determined from popular detectors. The findings show that the proposed method had better performance than other detectors in outlining the geologic features which were not seen in the observed fields.

提取重力和磁性数据的边缘已被普遍用作确定掩埋结构的线条的重要工具。有许多基于势场导数的边缘检测器，用于突出显示源边缘。这些检测器的普遍限制是它们无法产生平衡的图像，或者使用这些滤镜获得的结果分辨率较低。为了解决这些问题，我介绍了一种新的滤波器，该滤波器使用势场数据的垂直导数的Heaviside阶跃函数检测源边。新型过滤器在维特沃特斯兰德盆地（南非）的合成和真实重力数据集上进行了演示，并将估计的边缘与从流行的探测器确定的边缘进行了比较。