Enhancement of Potential Field Source Boundaries Using an Improved Logistic Filter

Detection of source horizontal boundaries is a common feature in the interpretation of magnetic and gravity data. A wide range of derivative- and phase-based methods are available to solve this problem. Here, we compare the effectiveness of the commonly used methods, and introduce a method based on...

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Bibliographic Details
Published inPure and applied geophysics Vol. 177; no. 11; pp. 5237 - 5249
Main Authors Pham, Luan Thanh, Van Vu, Tich, Le Thi, Sang, Trinh, Phuong Thi
Format Journal Article
LanguageEnglish
Published Cham Springer International Publishing 01.11.2020
Springer Nature B.V
Subjects
Boundaries
Detection
Earth and Environmental Science
Earth Sciences
Geophysics/Geodesy
Gravity data
Methods
Potential fields
horizontal boundaries
Central Puget Lowland
potential field data
logistic function
Edge detection
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Summary:Detection of source horizontal boundaries is a common feature in the interpretation of magnetic and gravity data. A wide range of derivative- and phase-based methods are available to solve this problem. Here, we compare the effectiveness of the commonly used methods, and introduce a method based on the logistic function and the horizontal gradient amplitude, which shows improved performance as a boundary detection filter. The effectiveness of the proposed filter is demonstrated by evaluating synthetic examples and a real example from the Central Puget Lowland (United States). The main advantage of this method is that it provides high-resolution results, and can avoid producing spurious boundaries in the output maps.
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content type line 14
ISSN:0033-4553
1420-9136
DOI:10.1007/s00024-020-02542-9