Detecting edges of geological sources from gravity or magnetic anomalies through a novel algorithm based on the hyperbolic tangent function.
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| Title: | Detecting edges of geological sources from gravity or magnetic anomalies through a novel algorithm based on the hyperbolic tangent function. |
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| Authors: | AI, Hanbing1, EKİNCİ, Yunus Levent2,3 ylekinci@yahoo.com, ALVANDI, Ahmad4, TOKTAY, Hazel Deniz5, BALKAYA, Çağlayan6, ROY, Arka7 |
| Source: | Turkish Journal of Earth Sciences. 2024, Vol. 33 Issue 6, p684-701. 18p. |
| Subjects: | Tangent function, Gravity anomalies, Hyperbolic functions, Magnetic anomalies, Directional derivatives |
| Abstract: | Directional derivative-based edge detectors are commonly used to outline the abrupt lateral variations in densities or magnetizations of geological sources from potential-field datasets. Some subtle traces of faults, lithological contacts, and lineaments can be made more visible on anomaly maps using these algorithms. However, these algorithms generally suffer from common limitations such as blurry edges with low resolution or faulty boundaries. To minimize these challenges, we propose a new efficient edge detector that benefits from the hyperbolic tangent function. The performance of this detector was tested on the responses of a synthetic gravity model and Bishop's complex magnetic model. Gaussian noise content was also added to both synthetic cases to test the response of the proposed operator. In a real-data experiment, residual gravity anomalies of the Aegean Graben System from western Türkiye, obtained via finite element method, were used to delineate abrupt lateral variations in mass densities in the region. The traces of basin-bounding normal faults and the boundaries of major grabens were improved in the resultant image map. A modified nonlocal means filter was also applied in both synthetic and real-data cases to attenuate undesired high-frequency effects. The proposed edge detection operator produced satisfactory outputs in each case. Comparative studies performed with some traditional and recently introduced algorithms further showed the superiority of the operator; thus, this detector is useful in revealing geological features that cannot be easily seen in potential-field anomaly maps and it is a strong alternative to currently used algorithms. [ABSTRACT FROM AUTHOR] |
| Copyright of Turkish Journal of Earth Sciences is the property of Scientific and Technical Research Council of Turkey and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 180182950 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Detecting edges of geological sources from gravity or magnetic anomalies through a novel algorithm based on the hyperbolic tangent function. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22AI%2C+Hanbing%22">AI, Hanbing</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22EKİNCİ%2C+Yunus+Levent%22">EKİNCİ, Yunus Levent</searchLink><relatesTo>2,3</relatesTo><i> ylekinci@yahoo.com</i><br /><searchLink fieldCode="AR" term="%22ALVANDI%2C+Ahmad%22">ALVANDI, Ahmad</searchLink><relatesTo>4</relatesTo><br /><searchLink fieldCode="AR" term="%22TOKTAY%2C+Hazel+Deniz%22">TOKTAY, Hazel Deniz</searchLink><relatesTo>5</relatesTo><br /><searchLink fieldCode="AR" term="%22BALKAYA%2C+Çağlayan%22">BALKAYA, Çağlayan</searchLink><relatesTo>6</relatesTo><br /><searchLink fieldCode="AR" term="%22ROY%2C+Arka%22">ROY, Arka</searchLink><relatesTo>7</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Turkish+Journal+of+Earth+Sciences%22">Turkish Journal of Earth Sciences</searchLink>. 2024, Vol. 33 Issue 6, p684-701. 18p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Tangent+function%22">Tangent function</searchLink><br /><searchLink fieldCode="DE" term="%22Gravity+anomalies%22">Gravity anomalies</searchLink><br /><searchLink fieldCode="DE" term="%22Hyperbolic+functions%22">Hyperbolic functions</searchLink><br /><searchLink fieldCode="DE" term="%22Magnetic+anomalies%22">Magnetic anomalies</searchLink><br /><searchLink fieldCode="DE" term="%22Directional+derivatives%22">Directional derivatives</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Directional derivative-based edge detectors are commonly used to outline the abrupt lateral variations in densities or magnetizations of geological sources from potential-field datasets. Some subtle traces of faults, lithological contacts, and lineaments can be made more visible on anomaly maps using these algorithms. However, these algorithms generally suffer from common limitations such as blurry edges with low resolution or faulty boundaries. To minimize these challenges, we propose a new efficient edge detector that benefits from the hyperbolic tangent function. The performance of this detector was tested on the responses of a synthetic gravity model and Bishop's complex magnetic model. Gaussian noise content was also added to both synthetic cases to test the response of the proposed operator. In a real-data experiment, residual gravity anomalies of the Aegean Graben System from western Türkiye, obtained via finite element method, were used to delineate abrupt lateral variations in mass densities in the region. The traces of basin-bounding normal faults and the boundaries of major grabens were improved in the resultant image map. A modified nonlocal means filter was also applied in both synthetic and real-data cases to attenuate undesired high-frequency effects. The proposed edge detection operator produced satisfactory outputs in each case. Comparative studies performed with some traditional and recently introduced algorithms further showed the superiority of the operator; thus, this detector is useful in revealing geological features that cannot be easily seen in potential-field anomaly maps and it is a strong alternative to currently used algorithms. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Turkish Journal of Earth Sciences is the property of Scientific and Technical Research Council of Turkey and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.55730/1300-0985.1936 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 18 StartPage: 684 Subjects: – SubjectFull: Tangent function Type: general – SubjectFull: Gravity anomalies Type: general – SubjectFull: Hyperbolic functions Type: general – SubjectFull: Magnetic anomalies Type: general – SubjectFull: Directional derivatives Type: general Titles: – TitleFull: Detecting edges of geological sources from gravity or magnetic anomalies through a novel algorithm based on the hyperbolic tangent function. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: AI, Hanbing – PersonEntity: Name: NameFull: EKİNCİ, Yunus Levent – PersonEntity: Name: NameFull: ALVANDI, Ahmad – PersonEntity: Name: NameFull: TOKTAY, Hazel Deniz – PersonEntity: Name: NameFull: BALKAYA, Çağlayan – PersonEntity: Name: NameFull: ROY, Arka IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 10 Text: 2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 13000985 Numbering: – Type: volume Value: 33 – Type: issue Value: 6 Titles: – TitleFull: Turkish Journal of Earth Sciences Type: main |
| ResultId | 1 |
