Edge detection of potential field data using improved local phase filter
Edge detection of potential field data using improved local phase filter
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DOI:
10.1071/eg12022
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发表时间:
2013-03
影响因子:
0.9
通讯作者:
Guoqing Ma
中科院分区:
文献类型:
--
作者:
Guoqing Ma
Edge detection is a requisite task in the interpretation of potential field data. There are many high-pass filters based on horizontal and vertical derivatives in use, such as total horizontal derivative, tilt angle, theta map, et al. In this paper, we present a new edge detection filter, which uses the combination of the different order horizontal derivatives to delineate the edges of the sources, called improved local phase (ILP) filter. The new filter is computationally stable, as it does not need the computation of the vertical derivatives of potential field data. The new filter is tested on synthetic and real potential field data. The resolving power of the ILP filter is tested by comparing the results with those obtained by the other filters. The advantage of the ILP filter in the edge detection of potential field data is due to the fact that it can display the edges of the causative sources more precisely and clearly, and can bring out more subtle details.