MTAHG and MTBHG: Modified Approaches for Interpreting Gravity Data

Abstract Gravity anomaly maps often contain spatially overlapping signatures from numerous sources, each with varying shapes, depths, and density contrasts. Locating these signatures using edge detection techniques is crucial for geological structural interpretation and imaging of horizontal boundaries. This paper proposes two effective edge detection tools: one combining the balanced total horizontal gradient (BHG), and the hyperbolic tangent function, abbreviated as “MTBHG”; and the other combining the tilt angle of the total horizontal gradient (TAHG) and the hyperbolic tangent function, abbreviated as “MTAHG.” Additionally, the Modified Non‐Local Means (MNLM) filter was applied to suppress possible noise effects amplified by the gradient calculation process. Synthetic tests validated that the MTAHG and MTBHG detectors outperform other representative detectors. Two high‐resolution gravity data sets from the Western Carpathians in Slovakia and the Witwatersrand Basin in South Africa were used to test the applicability of the modified methods. Results show that the modified detectors achieve superior edge delineation and avoid creating spurious anomalies or artifacts even in the presence of unwanted noise interference. Furthermore, by eliminating false tilt‐depth (TD) solutions via the edge detection results, we enhance the accuracy of depth estimates and facilitate the credible identification of both horizontal and vertical structure distributions.

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Publication Details

Journal
Earth and Space Science
Published
2025-04-01
DOI
https://doi.org/10.1029/2024ea003900
Citations
6
Primary Topic
Geophysical and Geoelectrical Methods
Type
article
Field-Weighted Citation Impact
11.20

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article

MTAHG and MTBHG: Modified Approaches for Interpreting Gravity Data

Hazel Deniz Toktay, Hanbing Ai, Ahmad Alvandi, Kejia Su et al.
6 citations
Earth and Space Science
Geophysical and Geoelectrical Methods
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article

MTAHG and MTBHG: Modified Approaches for Interpreting Gravity Data

Hazel Deniz Toktay, Hanbing Ai, Ahmad Alvandi, Kejia Su, Jinlei Li
article en
6 citations

Abstract

Abstract Gravity anomaly maps often contain spatially overlapping signatures from numerous sources, each with varying shapes, depths, and density contrasts. Locating these signatures using edge detection techniques is crucial for geological structural interpretation and imaging of horizontal boundaries. This paper proposes two effective edge detection tools: one combining the balanced total horizontal gradient (BHG), and the hyperbolic tangent function, abbreviated as “MTBHG”; and the other combining the tilt angle of the total horizontal gradient (TAHG) and the hyperbolic tangent function, abbreviated as “MTAHG.” Additionally, the Modified Non‐Local Means (MNLM) filter was applied to suppress possible noise effects amplified by the gradient calculation process. Synthetic tests validated that the MTAHG and MTBHG detectors outperform other representative detectors. Two high‐resolution gravity data sets from the Western Carpathians in Slovakia and the Witwatersrand Basin in South Africa were used to test the applicability of the modified methods. Results show that the modified detectors achieve superior edge delineation and avoid creating spurious anomalies or artifacts even in the presence of unwanted noise interference. Furthermore, by eliminating false tilt‐depth (TD) solutions via the edge detection results, we enhance the accuracy of depth estimates and facilitate the credible identification of both horizontal and vertical structure distributions.

Earth and Space ScienceVol. 12(4)
University of Tehran (IR), China University of Geosciences (CN), China University of Geosciences (Beijing) (CN)
Türkiye Bilimsel ve Teknolojik Araştırma Kurumu
Openalex Percentile: Top 1%
Geophysical and Geoelectrical Methods
11.20
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