Mapping subsurface structural lineaments using the edge filters of gravity data
The subsurface structures can be extracted from geophysical studies. This study deals with the detection of lineaments from gravity data that are related to the boundaries of the subsurface structures. The methods used in this study such as the horizontal gradient, total gradient, enhanced horizonta...
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2021
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oai:doaj.org-article:10258043505940fb870259fee62824182021-11-18T04:43:52ZMapping subsurface structural lineaments using the edge filters of gravity data1018-364710.1016/j.jksus.2021.101594https://doaj.org/article/10258043505940fb870259fee62824182021-12-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1018364721002561https://doaj.org/toc/1018-3647The subsurface structures can be extracted from geophysical studies. This study deals with the detection of lineaments from gravity data that are related to the boundaries of the subsurface structures. The methods used in this study such as the horizontal gradient, total gradient, enhanced horizontal gradient, and improved logistic are tested on synthetic model prior to application to real gravity data. The results indicate that the improved logistic filter can be an effective method for boundary detection of gravity data.Luan Thanh PhamAhmed M. EldosoukyO. MelouahKamal AbdelrahmanHassan AlzahraniSaulo P. OliveiraPeter AndrášElsevierarticleGravity dataLateral boundariesEdge filterScience (General)Q1-390ENJournal of King Saud University: Science, Vol 33, Iss 8, Pp 101594- (2021) |
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EN |
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Gravity data Lateral boundaries Edge filter Science (General) Q1-390 |
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Gravity data Lateral boundaries Edge filter Science (General) Q1-390 Luan Thanh Pham Ahmed M. Eldosouky O. Melouah Kamal Abdelrahman Hassan Alzahrani Saulo P. Oliveira Peter Andráš Mapping subsurface structural lineaments using the edge filters of gravity data |
description |
The subsurface structures can be extracted from geophysical studies. This study deals with the detection of lineaments from gravity data that are related to the boundaries of the subsurface structures. The methods used in this study such as the horizontal gradient, total gradient, enhanced horizontal gradient, and improved logistic are tested on synthetic model prior to application to real gravity data. The results indicate that the improved logistic filter can be an effective method for boundary detection of gravity data. |
format |
article |
author |
Luan Thanh Pham Ahmed M. Eldosouky O. Melouah Kamal Abdelrahman Hassan Alzahrani Saulo P. Oliveira Peter Andráš |
author_facet |
Luan Thanh Pham Ahmed M. Eldosouky O. Melouah Kamal Abdelrahman Hassan Alzahrani Saulo P. Oliveira Peter Andráš |
author_sort |
Luan Thanh Pham |
title |
Mapping subsurface structural lineaments using the edge filters of gravity data |
title_short |
Mapping subsurface structural lineaments using the edge filters of gravity data |
title_full |
Mapping subsurface structural lineaments using the edge filters of gravity data |
title_fullStr |
Mapping subsurface structural lineaments using the edge filters of gravity data |
title_full_unstemmed |
Mapping subsurface structural lineaments using the edge filters of gravity data |
title_sort |
mapping subsurface structural lineaments using the edge filters of gravity data |
publisher |
Elsevier |
publishDate |
2021 |
url |
https://doaj.org/article/10258043505940fb870259fee6282418 |
work_keys_str_mv |
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1718425081874481152 |