Edge detection of aeromagnetic data as effective tools for structural imaging at Shilman area, South Eastern Desert, Egypt
Arabian Journal of Geosciences, ISSN: 1866-7538, Vol: 14, Issue: 1
2021
- 30Citations
- 8Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Article Description
Aeromagnetic data over an extending part of Shilman area, South Eastern Desert (SED) of Egypt have been processed for enhancing the edges of magnetic sources to give a clear understanding of the structural framework. Various edge detectors including 1st vertical derivative (1st VD), total gradient (TG), and Theta were utilized to define the boundaries of the magnetic origins. These methods are applied to a synthetic model firstly. The interpretation exhibits that the N-S and NW directions are dominant in 1st VD map. The NW structural trend is dominant in the TG map while NW and N-S are the main structural trends controlling the Theta map of Shilman area. The correlation between the utilized techniques indicated that the Theta method is more effective in detecting the edges of magnetic sources of Shilman area than those of 1st Vd and TG methods. These results display that the Theta method is a powerful tool for enhancing the source edges of magnetic data.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85098858155&origin=inward; http://dx.doi.org/10.1007/s12517-020-06251-4; http://link.springer.com/10.1007/s12517-020-06251-4; http://link.springer.com/content/pdf/10.1007/s12517-020-06251-4.pdf; http://link.springer.com/article/10.1007/s12517-020-06251-4/fulltext.html; https://dx.doi.org/10.1007/s12517-020-06251-4; https://link.springer.com/article/10.1007/s12517-020-06251-4
Springer Science and Business Media LLC
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