Automatic gain control (AGC) filters are commonly applied to potential field data to produce images where both large and small amplitude features become prominent. These filters are usually based on ratios of the derivatives (or Hilbert transforms) of the data and are sensitive to noise as a result. By exploiting the fact that the data has an amplitude and phase component it is possible to produce an edge-enhanced dataset with minimal noise issues. The filters are demonstrated on synthetic data and on datasets from South Africa.

中文翻译：

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用于势场数据的幅度平衡边缘检测滤波器

自动增益控制 (AGC) 滤波器通常应用于势场数据，以生成大振幅和小振幅特征都变得突出的图像。这些滤波器通常基于数据的导数（或希尔伯特变换）的比率，因此对噪声敏感。通过利用数据具有幅度和相位分量的事实，可以生成具有最小噪声问题的边缘增强数据集。这些过滤器在合成数据和来自南非的数据集上进行了演示。