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An effective edge detection technique for subsurface structural mapping from potential field data

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dc.creator Oliveira, Saulo Pomponet
dc.creator ÖKSÜM, Erdinç
dc.creator Lai, Giau Manh
dc.creator Kieu Duy, Thong
dc.creator Bui, Thanh Minh
dc.creator Van Duong, Hao
dc.creator Pham, Luan Thanh
dc.date 2024-06-01T00:00:00Z
dc.date.accessioned 2025-02-25T10:23:05Z
dc.date.available 2025-02-25T10:23:05Z
dc.identifier 616a5a70-ae1f-417f-a84b-31c9e3097f0b
dc.identifier 10.1007/s11600-023-01185-3
dc.identifier https://avesis.sdu.edu.tr/publication/details/616a5a70-ae1f-417f-a84b-31c9e3097f0b/oai
dc.identifier.uri http://acikerisim.sdu.edu.tr/xmlui/handle/123456789/99923
dc.description Improving the horizontal boundaries of subsurface geological structures is one of the main objectives in interpreting potential fields. To solve this problem, a number of different algorithms have been introduced based on the derivatives of the field. However, these algorithms have some drawbacks, e.g., the determined edges do not match the actual boundaries. Here, we present a new algorithm based on the gradient amplitude and its derivatives which yields more precise and clear boundaries. The robustness of the proposed technique is illustrated using theoretical examples and a real example from Kon Tum province, Vietnam. Our results show that the proposed technique can produce results with better resolution and minimizes the artifacts in the pseudo-boundary map.
dc.language eng
dc.rights info:eu-repo/semantics/closedAccess
dc.title An effective edge detection technique for subsurface structural mapping from potential field data
dc.type info:eu-repo/semantics/article


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