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《世界地质(英文版)》 2018-02
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Edge detection of gravity anomaly with an improved 3D structure tensor

DAI Weiming;LI Tonglin;HUANG Danian;YUAN Yuan;LIU Kai;QIAO Zhongkun;College of Geo-Exploration Science and Technology,Jilin University;Second Institute of Oceanography,State Oceanic Administration;China Water Northeastern Investigation,Design&Research Co.,Ltd;  
Edge detection plays an important role in geological interpretation of potential field data,which can indicate the subsurface faults,contact,and other tectonic features.A variety of methods have been proposed to detect and enhance the edges.3 D structure tensor can well delineate the edges of geological bodies,however,it is sensitive to noise and additional false edges need to be removed artificially.In order to overcome these disadvantages,this paper redefines the 3 D structure tensor with a Gaussian envelop and proposes a new normalized edge detector,which can remove the additional false edges and reduce the influence of noise effectively,and balance the edges of different amplitude anomalies completely.This method has been tested on the synthetic and measured gravity data,showing that the new improved method achievesbetter results and reveals more details.
【Fund】: Supported by Project of National Major Science and Technology(No.2016ZX05026-007-01)
【CateGory Index】: P631.1
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