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Global Geology 2018, 21(4) 260-266 DOI:
10.3969/j.issn.1673-9736.2018.04.07 ISSN: 1673-9736 CN: 22-1371/P |
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Advanced derivative ratio filters for edge detection of potential field data |
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MING Yanbo, GAO Tong, MA Guoqing |
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College of Geo-Exploration Science and Technology, Changchun 130026, China |
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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. |
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edge detection
potential field data
advanced derivative ratio
different-order
resolution
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Advanced derivative ratio filters for edge detection of potential field data |
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MING Yanbo, GAO Tong, MA Guoqing |
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College of Geo-Exploration Science and Technology, Changchun 130026, China |
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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. |
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Keywords:
edge detection
potential field data
advanced derivative ratio
different-order
resolution
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�ո����� 2018-03-05 ������ 2018-06-22 ����淢������ |
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DOI: 10.3969/j.issn.1673-9736.2018.04.07 |
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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). |
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ͨѶ����: MA Guoqing |
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����Email: maguoqing@jlu.edu.cn |
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| ������������� |
| 1��LIN Song, LI Lili, SHI Jianan.Combination of structure tensor and tilt angle in the edge detection of potential field data[J]. Global Geology, 2018,21(4): 252-259 |
| 2��DAI Weiming, LI Tonglin, HUANG Danian, YUAN Yuan, LIU Kai, QIAO Zhongkun.Edge detection of gravity anomaly with an improved 3D structure tensor[J]. Global Geology, 2018,21(2): 108-113 |
| 3��TAN Xiaodi, ZHANG Dailei, MA Guoqing.Edge detection of potential field data based on image processing methods[J]. Global Geology, 2018,21(2): 134-142 |
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