NHF as an Edge Detector of Potential Field Data and Its Application in the Yili Basin

Edge enhancement is a frequently used transformation of potential field data. Its goal to sharpen the position subsurface structures. Here we propose new method enhance edges sources causing anomalies called normalized Harris filter (NHF), which based on and amplitude balance. Three synthetic data sets are evaluate performance proposed approach. The presented approach provides better estimation sources’ when compared other methods. robust noisy can avoid generation artificial edges, thereby reducing ambiguity interpretation. testing real set from Yili basin in Northwestern China demonstrates that highlights several not shown geological map or also shows advantages gradually enhancing deep-seated structure. results demonstrate may be detector qualitatively determining