Edge detection in the potential field using the correlation coefficients of multidirectional standard deviations
Xu Meng-Long1, Yang Chang-Bao1, Wu Yan-Gang1, Chen Jing-Yi2, and Huan Heng-Fei3
1. College of Geo-Exploration Science and Technology, Jilin University, Changchun 130026, China.
2. Department of Geosciences, The University of Tulsa, Oklahoma 74104, USA.
3. Shenyang Institute of Geology and Mineral Resources, Shenyang 110034, China.
Abstract Most edge-detection methods rely on calculating gradient derivatives of the potential field, a process that is easily affected by noise and is therefore of low stability. We propose a new edge-detection method named correlation coefficient of multidirectional standard deviations (CCMS) that is solely based on statistics. First, we prove the reliability of the proposed method using a single model and then a combination of models. The proposed method is evaluated by comparing the results with those obtained by other edge-detection methods. The CCMS method offers outstanding recognition, retains the sharpness of details, and has low sensitivity to noise. We also applied the CCMS method to Bouguer anomaly data of a potash deposit in Laos. The applicability of the CCMS method is shown by comparing the inferred tectonic framework to that inferred from remote sensing (RS) data.
This work is supported by the National Hi-Tech Research and Development Program of China (863 Program) (No. 2006AA06Z107) and the National Natural Science Foundation of China (No. 40930314).
Cite this article:
Xu Meng-Long,Yang Chang-Bao,Wu Yan-Gang et al. Edge detection in the potential field using the correlation coefficients of multidirectional standard deviations[J]. APPLIED GEOPHYSICS, 2015, 12(1): 23-34.
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2015, Vol. 12 
