Number of the records: 1
Mapping subsurface structural lineaments using the edge filters of gravity data
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$a 10.1016/j.jksus.2021.101594 $2 DOI 035 $a biblio/443828 $2 CREPC2 100 $a 20211019d2021 m y slo 03 ba 101 0-
$a eng 102 $a NL 200 1-
$a Mapping subsurface structural lineaments using the edge filters of gravity data $f Luan Thanh Pham, Ahmed M. Eldosouky ... [et al.] 330 $a 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. 2021 The Author(s). Published by Elsevier B.V. on behalf of King Saud University. This is an open access article under the CC BY-NC-ND license 463 -1
$1 001 umb_un_cat*0304782 $1 011 $a 1018-3647 $1 011 $a 2213-686X $1 200 1 $a Journal of King Saud University - Science $v Vol. 33, no. 8 (2021), pp. [1-8] $1 210 $a Amsterdam $c Elsevier B.V. $d 2021 606 0-
$3 umb_un_auth*0132968 $a gravitačné polia 606 0-
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$3 umb_un_auth*0290964 $a Pham $b Luan Thanh $4 070 $9 20 701 -1
$3 umb_un_auth*0290966 $a Eldosouky $b Ahmed Mohammed $9 20 $4 070 701 -1
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$3 umb_un_auth*0290971 $a Oliveira $b Saulo P. $4 070 $9 10 701 -1
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Number of the records: 1