Edge interpretation of potential field data with the normalized enhanced analytic signal

Abstract

Edge detection is a requisite task in the interpretation of potential field data. The existed edge detectors have the disadvantages that they cannot balance the edges of strong and weak amplitude anomalies simultaneously, or the identified edges of deep geological bodies are divergence and fuzzy. In order to overcome this problem, this paper presents the normalized enhanced analytic signal detectors to extract the edges, which can improve the disadvantages effectively. The normalized enhanced analytic signal detectors use different orders vertical derivatives of potential field data to normalize the different orders enhanced analytic signals. The new detectors are tested on synthetic gravity data, which can not only display the edges of shallow and deep geological bodies clearly at the same time, also can identify the edges more precisely and clearly. Finally, these detectors are demonstrated on real gravity and magnetic data from China, which can bring out more edge information.