3D lineament reconstruction from multispectral remotely sensed data in United Arab Emirate (UAE)
At present, there is no study has been uitlized multi spectral remote sensing to reconstruct 3D lineaments mapping in UAE. In this context, image enhancement contrast, stretching and linear enhancement were applied to acquire an excellent visualization. In addition, automatic detection algorithm of...
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my.utm.194072022-02-28T12:18:23Z http://eprints.utm.my/id/eprint/19407/ 3D lineament reconstruction from multispectral remotely sensed data in United Arab Emirate (UAE) Marghany, Maged Hashim, Mazlan G70.39-70.6 Remote sensing At present, there is no study has been uitlized multi spectral remote sensing to reconstruct 3D lineaments mapping in UAE. In this context, image enhancement contrast, stretching and linear enhancement were applied to acquire an excellent visualization. In addition, automatic detection algorithm of Canny is performed to extract linear features in multispectral remote sensing data e.g. lineaments, fractures. Uncertainties DEM model was performed by using Fuzzy B-spline algorithm to map spatial lineaments variation in 3D. 2008 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/19407/1/MagedMarghany2008_3DLineamentReconstructionfromMultispectral.pdf Marghany, Maged and Hashim, Mazlan (2008) 3D lineament reconstruction from multispectral remotely sensed data in United Arab Emirate (UAE). In: The 29th Asian Conference on Remote Sensing ( ACRS) 2008, Colombo Sri Lanka, 2008, Colombo, Sri Lanka. |
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G70.39-70.6 Remote sensing Marghany, Maged Hashim, Mazlan 3D lineament reconstruction from multispectral remotely sensed data in United Arab Emirate (UAE) |
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At present, there is no study has been uitlized multi spectral remote sensing to reconstruct 3D lineaments mapping in UAE. In this context, image enhancement contrast, stretching and linear enhancement were applied to acquire an excellent visualization. In addition, automatic detection algorithm of Canny is performed to extract linear features in multispectral remote sensing data e.g. lineaments, fractures. Uncertainties DEM model was performed by using Fuzzy B-spline algorithm to map spatial lineaments variation in 3D. |
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Conference or Workshop Item |
author |
Marghany, Maged Hashim, Mazlan |
author_facet |
Marghany, Maged Hashim, Mazlan |
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Marghany, Maged |
title |
3D lineament reconstruction from multispectral remotely sensed data in United Arab Emirate (UAE) |
title_short |
3D lineament reconstruction from multispectral remotely sensed data in United Arab Emirate (UAE) |
title_full |
3D lineament reconstruction from multispectral remotely sensed data in United Arab Emirate (UAE) |
title_fullStr |
3D lineament reconstruction from multispectral remotely sensed data in United Arab Emirate (UAE) |
title_full_unstemmed |
3D lineament reconstruction from multispectral remotely sensed data in United Arab Emirate (UAE) |
title_sort |
3d lineament reconstruction from multispectral remotely sensed data in united arab emirate (uae) |
publishDate |
2008 |
url |
http://eprints.utm.my/id/eprint/19407/1/MagedMarghany2008_3DLineamentReconstructionfromMultispectral.pdf http://eprints.utm.my/id/eprint/19407/ |
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1726791438057865216 |
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13.209306 |