Determining the edge of potential field data using Normalized enhanced analytical signal of different orders
Detecting the edge plays a substantial role in explaining the data of the potential field. One of the most common methods for detecting the edge is the use of analytical signal. The interference of the anomalies adjacent sources ensues the limiting of the use of analytic signal in detecting the border of the masses. In order to overcome this problem, have been used the enhanced analytical signals, but this method cannot display the edges of anomalies with strong and weak domains simultaneously. In the present study, has been used the enhanced analytical signal of different orders that the filters, introduced by Yao et al. (2015) have been investigated. For this purpose, the new edge detector filter has been introduced as Normalization Analytic Signal (NAS) Then the Normalized Second Order Enhanced Analytic Signal (NSAS) and Modified Normalized Third Order Enhanced Analytic Signal (MNTAS) have been introduced respectively. Also, the diagrams have been drawn using Oasis Montaj 6.4.2 software. Moreover, this method has been applied to artificial data from various synthetic models to assess the accuracy and efficiency of the mentioned filters. The modified of the Tilt angle of the Total Horizontal Gradient (TAHG) filters have been used for comparing and evaluating the proposed method with others. In order to verify, having applied the introduced filters to synthetic data, these filters have been used to interpret ground magnetic data which has been collected in Maki in the region of Kashmar.