High precision structural mapping using edge filters of potential field and remote sensing data: A case study from Wadi Umm Ghalqa area, South Eastern Desert, Egypt
Recently, detecting the edges and geologic structures (deep and shallow) from potential field sources provides a fundamental tool for interpreting geological structures. Therefore, the high precision computation of the edges of potential sources is becoming an essential requirement for studying subs...
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Format: | Article |
Language: | English |
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Elsevier
2022-08-01
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Series: | Egyptian Journal of Remote Sensing and Space Sciences |
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Online Access: | http://www.sciencedirect.com/science/article/pii/S1110982322000308 |
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author | Ahmed M. Eldosouky Luan Thanh Pham Ahmed Henaish |
author_facet | Ahmed M. Eldosouky Luan Thanh Pham Ahmed Henaish |
author_sort | Ahmed M. Eldosouky |
collection | DOAJ |
description | Recently, detecting the edges and geologic structures (deep and shallow) from potential field sources provides a fundamental tool for interpreting geological structures. Therefore, the high precision computation of the edges of potential sources is becoming an essential requirement for studying subsurface structures. In this study, nine common detectors like tilte angle (TA), Theta-map (TM), Horizontal tilt angle (TDX), hyperbolic tilt angle (HTA), Improved tilt angle (ITA), Tilt angle of the total horizontal gradient (TTHG), Tilt angle of the total gradient (TTG), improved Theta-map (ITM), and improved logistic (IL) were applied. These filters have been tested on theoretical models and real data (aeromagnetic) from the Wadi Umm Ghalqa area, South Eastern Desert of Egypt. The obtained results have shown that the improved logistic (IL) filter could detect edges more successfully than the other eight filters. The results of the IL method were used to generate new accurate structural maps for local and deep components of the investigated area. Moreover, surface structures obtained from remote sensing data were considered to control the interpretation of the mapped subsurface lineaments. Hence, the IL method can be utilized as a sharp tool for the high precision structural imaging of the potential data. |
first_indexed | 2024-04-13T22:54:33Z |
format | Article |
id | doaj.art-055cd586a44c4b24afe75b954b4ec7ca |
institution | Directory Open Access Journal |
issn | 1110-9823 |
language | English |
last_indexed | 2024-04-13T22:54:33Z |
publishDate | 2022-08-01 |
publisher | Elsevier |
record_format | Article |
series | Egyptian Journal of Remote Sensing and Space Sciences |
spelling | doaj.art-055cd586a44c4b24afe75b954b4ec7ca2022-12-22T02:26:03ZengElsevierEgyptian Journal of Remote Sensing and Space Sciences1110-98232022-08-01252501513High precision structural mapping using edge filters of potential field and remote sensing data: A case study from Wadi Umm Ghalqa area, South Eastern Desert, EgyptAhmed M. Eldosouky0Luan Thanh Pham1Ahmed Henaish2Geology Department, Faculty of Science, Suez University, Suez 43518, Egypt; Corresponding author.Faculty of Physics, University of Science, Vietnam National University, Hanoi, Viet NamDepartment of Geology, Faculty of Science, Zagazig University, 44519, EgyptRecently, detecting the edges and geologic structures (deep and shallow) from potential field sources provides a fundamental tool for interpreting geological structures. Therefore, the high precision computation of the edges of potential sources is becoming an essential requirement for studying subsurface structures. In this study, nine common detectors like tilte angle (TA), Theta-map (TM), Horizontal tilt angle (TDX), hyperbolic tilt angle (HTA), Improved tilt angle (ITA), Tilt angle of the total horizontal gradient (TTHG), Tilt angle of the total gradient (TTG), improved Theta-map (ITM), and improved logistic (IL) were applied. These filters have been tested on theoretical models and real data (aeromagnetic) from the Wadi Umm Ghalqa area, South Eastern Desert of Egypt. The obtained results have shown that the improved logistic (IL) filter could detect edges more successfully than the other eight filters. The results of the IL method were used to generate new accurate structural maps for local and deep components of the investigated area. Moreover, surface structures obtained from remote sensing data were considered to control the interpretation of the mapped subsurface lineaments. Hence, the IL method can be utilized as a sharp tool for the high precision structural imaging of the potential data.http://www.sciencedirect.com/science/article/pii/S1110982322000308Edge detectionStructural mappingAeromagneticPotential field dataEastern Desert |
spellingShingle | Ahmed M. Eldosouky Luan Thanh Pham Ahmed Henaish High precision structural mapping using edge filters of potential field and remote sensing data: A case study from Wadi Umm Ghalqa area, South Eastern Desert, Egypt Egyptian Journal of Remote Sensing and Space Sciences Edge detection Structural mapping Aeromagnetic Potential field data Eastern Desert |
title | High precision structural mapping using edge filters of potential field and remote sensing data: A case study from Wadi Umm Ghalqa area, South Eastern Desert, Egypt |
title_full | High precision structural mapping using edge filters of potential field and remote sensing data: A case study from Wadi Umm Ghalqa area, South Eastern Desert, Egypt |
title_fullStr | High precision structural mapping using edge filters of potential field and remote sensing data: A case study from Wadi Umm Ghalqa area, South Eastern Desert, Egypt |
title_full_unstemmed | High precision structural mapping using edge filters of potential field and remote sensing data: A case study from Wadi Umm Ghalqa area, South Eastern Desert, Egypt |
title_short | High precision structural mapping using edge filters of potential field and remote sensing data: A case study from Wadi Umm Ghalqa area, South Eastern Desert, Egypt |
title_sort | high precision structural mapping using edge filters of potential field and remote sensing data a case study from wadi umm ghalqa area south eastern desert egypt |
topic | Edge detection Structural mapping Aeromagnetic Potential field data Eastern Desert |
url | http://www.sciencedirect.com/science/article/pii/S1110982322000308 |
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