Abstract
In magnetic interpretation, most existing edge detection filters have the disadvantages that they require a reduction to the pole or pseudo-gravity transformation as a pre-process of the magnetic data and beside this, the identified edges of deep sources are generally diffuse and fuzzy, or cannot balance the edges of strong and weak amplitude anomalies simultaneously. In order to overcome these problems, we introduce a new filter, which can improve these disadvantages effectively. The filter is based on the derivatives of the analytic signal amplitude and the hyperbolic tangent function. The feasibility of the filter is demonstrated on three cases of synthetic data caused by theoretical models in variable depths and positions. The outcomes are compared with the results of frequently used other edge detectors such as the analytical signal amplitude and the tilt angle of the analytic signal amplitude. The results show that the new filter can achieve better edge delineation.
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