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 is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
Reference
Blakely, R. J., and Robert, W. Simpson, 1986, Approximating edges of source bodies from magnetic or gravity anomalies: Geophysics, 51(7), 1494–1498.
Blakely, R. J., 1995, Potential theory in gravity and magnetic application: Cambridge University Press, England, 414–149.
Cooper, G. R., and Cowan, D. R., 2006, Enhancing potential field data using filters based on the local phase: Computers&Geosciences, 42(10), 1585–1591.
Cooper, G. R., and Cowan, D. R., 2008, Edge enhancement of potential field data using normalized statistics: Geophysics, 74(4), H1–H4.
Evjen, H. M., 1946, The place of the vertical gradient in gravitational interpretations gravitational interpretations: Geophysics, 1(1), 127–146.
Fairhead, J. D., Salem, A., Cascone, L., et al., 2011, New developments of the magnetic tilt-depth method to improve structural mapping of sedimentary basins: Geophysical Prospecting, 59(6), 1072–1086.
Fedi, M., and Florio, G., 2001, Detection of potential field’s source boundaries by enhanced horizontal derivative method: Geophysical Prospecting, 49(1), 40–58.
Grauch, V. J. S., Cordell, L., 1987, Limitations of determining density or magnetic boundaries from the horizontal gradient of gravity or pseudo gravity data: Geophysics, 52(1), 118–121.
Jiang, F. Y., Gao, L. K., 2012, Edge enhancement of gravity anomalies and gravity gradient tensors using an improved small sub-domain filtering method: Applied Geophysics, 9(2), P.119–130.
Lin, H., 1996, Morden statistics: Economy& Management Press, Beijing, 58–190.
Reid, A. B., Allsop, J. M., Granser, H., et al., 1990, Magnetic interpretation in three dimensions using Euler deconvolution: Geophysics, 55(1), 80–91.
Ma, G., Du, X., Li, L., et al., 2012a, Interpretation of magnetic anomalies by horizontal and vertical derivatives of the analytic signal: Applied Geophysics, 9(4), P468–P474.
Ma, G. Q., Huang, D.N., Yu, P., et al, 2012b, Application of improved balancing filters to edge identification of potential field data: Chinese J. Geophys, (in Chinese), 55(12), 4288–4295.
Ma, G., Li, L., 2012c, Edge detection in potential fields with the normalized total horizontal derivative: Computers&Geosciences, 41, 84–87.
Ma, G., 2012d, The study on the automatic interpretation methods of potential field (gravity&magnetic) and its gradients. Jilin University.
Wang, W. Y., Pan, Y., Qiu, Z. Y., 2009, A new edge recognition technology based on the normalized vertical derivative of the total horizontal derivative for potential field data: Applied Geophysics, 6(4), 226–244.
Wang, Y. G., Zhang, F. X, Wang, Z. W., et al., 2013, Edge Detection of Potential Field Using Normalized Differential. Journal of Jilin University: Earth Science Edition (in Chinese), 43(2), 592–602.
Wang, Y. G., Zhang, F. X., Liu, C., et al., 2013, Edge detection in potential fields using optimal auto-ratio of vertical gradient: Chinese J. Geophys, (in Chinese), 56(7), 2464–2472.
Wijns, C., Perez, C., and Kowalczyk, P., 2005, Theta map: edge detection in magnetic data: Geophysics, 70(4), L49–L44.
Yang, G. Y., 1995, A new technique for potential field data processing: small sub-domain filtering: Oil Geophysical Prospecting (in Chinese), 40(2), 240–244.
Zhang, H. L., Liu, T. Y., and Yang, Y. S., 2011, Calculation of gravity and magnetic sources boundary based on anisotropy normalized variance: Chinese J. Geophys, (in Chinese), 54(7), 1921–1927.
Zhang, L. L., Hao, T. Y., et al., 2005, Application of Image Enhancement Techniques to Potential Field Data: Applied Geophysics, 2(4), 145–152.
Author information
Authors and Affiliations
Corresponding author
Additional information
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).
Xu Meng-Long graduated from Jilin University in 2011 with a B.S. in Applied Geophysics. She is presently a PhD student in the College of Geo-Exploration Science and Technology, Jilin University. Her research focuses on gravity and magnetic data processing and interpretation.
Rights and permissions
About this article
Cite this article
Xu, ML., Yang, CB., Wu, YG. et al. Edge detection in the potential field using the correlation coefficients of multidirectional standard deviations. Appl. Geophys. 12, 23–34 (2015). https://doi.org/10.1007/s11770-014-0473-5
Received:
Revised:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11770-014-0473-5