Edge location is an important information of the source, and can be obtained by the potential field data. Most edge detection methods of potential field data are the functions of horizontal and vertical derivatives. The authors provide a new strategy to establish edge detection filters that can improve the resolution to identify small bodies, which use the ratio functions of different-order derivatives to recognize the edges of the sources. The new filter is named as advanced derivative ratio (ADR) filter and balanced outputs can be produced for different forms of ADR filters. The ADR filters are tested on synthetic data and real potential field data. The advantage of the ADR filters is that they can detect the edges of the causative sources more precisely and clearly, and the model testing results show that the resolution of ADR filters is higher than other existing filters. The ADR filters were applied to real data, with more subtle details obtained.
Abstract
Edge location is an important information of the source, and can be obtained by the potential field data. Most edge detection methods of potential field data are the functions of horizontal and vertical derivatives. The authors provide a new strategy to establish edge detection filters that can improve the resolution to identify small bodies, which use the ratio functions of different-order derivatives to recognize the edges of the sources. The new filter is named as advanced derivative ratio (ADR) filter and balanced outputs can be produced for different forms of ADR filters. The ADR filters are tested on synthetic data and real potential field data. The advantage of the ADR filters is that they can detect the edges of the causative sources more precisely and clearly, and the model testing results show that the resolution of ADR filters is higher than other existing filters. The ADR filters were applied to real data, with more subtle details obtained.
关键词
edge detection /
potential field data /
advanced derivative ratio /
different-order /
resolution
Key words
edge detection /
potential field data /
advanced derivative ratio /
different-order /
resolution
{{custom_sec.title}}
{{custom_sec.title}}
{{custom_sec.content}}
参考文献
Blakely R J. 1995. Potential theory in gravity and magnetic applications. Cambridge:Cambridge University Press, 221-226.
Bracewell R N. 1965. The Fourier transform and its application. New York:McGraw Hill Book Co., 323.
Cooper G R J, Cowan D R. 2006. Enhancing potential field data using filters based on the local phase.Computers & Geosciences,32(1):1585-1591.
Cooper G R J, Cowan D R. 2011. A generalized derivative operator for potential field data.Geophysical Prospecting,59(1):188-194.
Fedi M, Florio G. 2001. Detection of potential fields source boundaries by enhanced horizontal derivative method.Geophysical Prospecting,49(1):40-58.
Ma G Q. 2013. Edge detection of potential field data using improved local phase filter.Exploration Geophysics,44(1):36-41.
Miller H G, Singh V. 1994. Potential field tilt-a new concept for location of potential field sources.Journal of Applied Geophysics,32(1):213-217.
Verduzco B, Fairhead J D, Green C M. 2004. New insights into magnetic derivatives for structural mapping.The Leading Edge,23(2):116-119.
Wijns C, Perez C, Kowalczyk P. 2005. Theta map:edge detection in magnetic data.Geophysics,70(4):39-43.
基金
Supported by Projects of National Key R & D Program of China(Nos.2017YFC0602203,2017YFC0601606), National Science and Technology Major Project (No.2016ZX05027-002-03), National Natural Science Foundation of China (Nos.41604098,41404089)and State Key Program of National Natural Science of China (No.41430322).
PDF(1042 KB)
