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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Main Authors: Marghany, Maged, Hashim, Mazlan
Format: Conference or Workshop Item
Language:English
Published: 2008
Subjects:
Online Access:http://eprints.utm.my/id/eprint/19407/1/MagedMarghany2008_3DLineamentReconstructionfromMultispectral.pdf
http://eprints.utm.my/id/eprint/19407/
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spelling 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.
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic G70.39-70.6 Remote sensing
spellingShingle G70.39-70.6 Remote sensing
Marghany, Maged
Hashim, Mazlan
3D lineament reconstruction from multispectral remotely sensed data in United Arab Emirate (UAE)
description 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.
format Conference or Workshop Item
author Marghany, Maged
Hashim, Mazlan
author_facet Marghany, Maged
Hashim, Mazlan
author_sort 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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score 13.209306