[an error occurred while processing this directive] | Global Geology 2018, 21(4) 252-259 DOI: 10.3969/j.issn.1673-9736.2018.04.06 ISSN: 1673-9736 CN: 22-1371/P | ||||||||||||||||||||||||||||||||||||||||||||
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Combination of structure tensor and tilt angle in the edge detection of potential field data | |||||||||||||||||||||||||||||||||||||||||||||
LIN Song, LI Lili, SHI Jianan | |||||||||||||||||||||||||||||||||||||||||||||
College of Geo-Exploration Science and Techonology, Jilin University, Changchun 130026, China | |||||||||||||||||||||||||||||||||||||||||||||
ժҪ�� Edge detection is a commonly requested task in the interpretation of potential field data. Different methods have different results for varied depths and shapes of geological bodies. In this paper, we propose using the combination of structure tensor and tilt angle to detect the edges of the sources, which can display the edges of shallow and deep bodies simultaneously. Through tests on synthetic potential field data, it is obvious that the proposed edge detection methods can display the sources edges more clearly and precisely, compared with other commonly used methods. The application on real potential field data shows similar result, obtaining the edges of layers and faults clearly. In addition, another advantage of the new method is its insensitivity to noise. | |||||||||||||||||||||||||||||||||||||||||||||
�ؼ����� combination structure tensor tilt angle edge detection potential field data | |||||||||||||||||||||||||||||||||||||||||||||
Combination of structure tensor and tilt angle in the edge detection of potential field data | |||||||||||||||||||||||||||||||||||||||||||||
LIN Song, LI Lili, SHI Jianan | |||||||||||||||||||||||||||||||||||||||||||||
College of Geo-Exploration Science and Techonology, Jilin University, Changchun 130026, China | |||||||||||||||||||||||||||||||||||||||||||||
Abstract: Edge detection is a commonly requested task in the interpretation of potential field data. Different methods have different results for varied depths and shapes of geological bodies. In this paper, we propose using the combination of structure tensor and tilt angle to detect the edges of the sources, which can display the edges of shallow and deep bodies simultaneously. Through tests on synthetic potential field data, it is obvious that the proposed edge detection methods can display the sources edges more clearly and precisely, compared with other commonly used methods. The application on real potential field data shows similar result, obtaining the edges of layers and faults clearly. In addition, another advantage of the new method is its insensitivity to noise. | |||||||||||||||||||||||||||||||||||||||||||||
Keywords: combination structure tensor tilt angle edge detection potential field data | |||||||||||||||||||||||||||||||||||||||||||||
�ո����� 2018-01-15 ������ 2018-03-21 ����淢������ | |||||||||||||||||||||||||||||||||||||||||||||
DOI: 10.3969/j.issn.1673-9736.2018.04.06 | |||||||||||||||||||||||||||||||||||||||||||||
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Supported by projects of National Key Research and Development Plan (Nos.2017YFC0601606, 2017YFC0602203); 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). | |||||||||||||||||||||||||||||||||||||||||||||
ͨѶ����: LI Lili | |||||||||||||||||||||||||||||||||||||||||||||
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����Email: lilili@jlu.edu.cn | |||||||||||||||||||||||||||||||||||||||||||||
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1��MING Yanbo, GAO Tong, MA Guoqing.Advanced derivative ratio filters for edge detection of potential field data[J]. Global Geology, 2018,21(4): 260-266 | |||||||||||||||||||||||||||||||||||||||||||||
2��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 | |||||||||||||||||||||||||||||||||||||||||||||
3��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 | |||||||||||||||||||||||||||||||||||||||||||||
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