Balanced edge detection based on eigenvalues of full magnetic gradient tensor

被引：0
|
作者：
Zheng Q. [1 ]
Guo H. [2 ]
Zhang G. [1 ]
Han S. [2 ]
Wang M. [2 ]
Liu H. [2 ]
机构：
[1] School of Geophysics and Information Technology, China University of Geosciences (Beijing), Beijing
[2] Airborne Geophysical Prospecting and Remote Sensing Center, Ministry of Natural Resources, Beijing
来源：
Shiyou Diqiu Wuli Kantan/Oil Geophysical Prospecting | 2020年 / 55卷 / 02期
关键词：
Balanced edge detection; Eigenvalue; Full magnetic gradient tensor;
D O I：
10.13810/j.cnki.issn.1000-7210.2020.02.026
中图分类号：
学科分类号：
摘要：
Full gravimetric-magnetic gradient tensor data, which feature high precision, high resolution, and multi-parameter, is a focus in potential field data processing and interpretation. For accurate and robust edge detection, we present a balanced edge detection method based on the maximum eigenvalue of full magnetic gradient tensor. Model tests show that the boundaries of the deep and shallow models could be identified simultaneously with high precision and robustness; It also has some resistance to oblique magnetization. To test its feasibility, we apply this method to field data acquired in a prospect in north China and obtain the clear image of structure boundaries. © 2020, Editorial Department OIL GEOPHYSICAL PROSPECTING. All right reserved.
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页码：454 / 464
页数：10
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