Automatic detection of lineaments from LANDSAT images in United Arab Emirate (UAE)

Lineaments play tremendous role for preliminary exploration for characterization of geologic structure, oil exploration and ground water storages. Lineament identifications from remotely sensed data are required standard procedures. This work utilized a new geomatical tool for lineament identificati...

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Main Authors: Marghany , Maged, El Mahdi, Samy Ismail, Hashim, Mazlan
Format: Conference or Workshop Item
Language:English
Published: 2006
Subjects:
Online Access:http://eprints.utm.my/1088/
http://eprints.utm.my/1088/1/DP-08.pdf
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author Marghany , Maged
El Mahdi, Samy Ismail
Hashim, Mazlan
author_facet Marghany , Maged
El Mahdi, Samy Ismail
Hashim, Mazlan
author_sort Marghany , Maged
building UTeM Institutional Repository
collection Online Access
description Lineaments play tremendous role for preliminary exploration for characterization of geologic structure, oil exploration and ground water storages. Lineament identifications from remotely sensed data are required standard procedures. This work utilized a new geomatical tool for lineament identification which based on automatic detection algorithms. Integration between Laplacian, edge detection and Canny algorithms with different kernel window sizes is main component of new geomatical tool. The examination area is in mountainous areas of United Arab Emirate. The results show that: Canny algorithm with kernel window size of 3 x 3 pixels and line provides highly precisely lineaments information compared to Laplacian algorithm. Integration between Canny and edge detection algorithms illustrated highly accurate level within RMSE of ± 2 m.
first_indexed 2025-11-15T20:36:06Z
format Conference or Workshop Item
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institution Universiti Teknologi Malaysia
institution_category Local University
language English
last_indexed 2025-11-15T20:36:06Z
publishDate 2006
recordtype eprints
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spelling utm-10882012-04-18T10:08:43Z http://eprints.utm.my/1088/ Automatic detection of lineaments from LANDSAT images in United Arab Emirate (UAE) Marghany , Maged El Mahdi, Samy Ismail Hashim, Mazlan Q Science (General) Lineaments play tremendous role for preliminary exploration for characterization of geologic structure, oil exploration and ground water storages. Lineament identifications from remotely sensed data are required standard procedures. This work utilized a new geomatical tool for lineament identification which based on automatic detection algorithms. Integration between Laplacian, edge detection and Canny algorithms with different kernel window sizes is main component of new geomatical tool. The examination area is in mountainous areas of United Arab Emirate. The results show that: Canny algorithm with kernel window size of 3 x 3 pixels and line provides highly precisely lineaments information compared to Laplacian algorithm. Integration between Canny and edge detection algorithms illustrated highly accurate level within RMSE of ± 2 m. 2006-11-05 Conference or Workshop Item NonPeerReviewed application/pdf en http://eprints.utm.my/1088/1/DP-08.pdf Marghany , Maged and El Mahdi, Samy Ismail and Hashim, Mazlan (2006) Automatic detection of lineaments from LANDSAT images in United Arab Emirate (UAE). In: International Conference on Space & Geo-Informatics 2006 ..
spellingShingle Q Science (General)
Marghany , Maged
El Mahdi, Samy Ismail
Hashim, Mazlan
Automatic detection of lineaments from LANDSAT images in United Arab Emirate (UAE)
title Automatic detection of lineaments from LANDSAT images in United Arab Emirate (UAE)
title_full Automatic detection of lineaments from LANDSAT images in United Arab Emirate (UAE)
title_fullStr Automatic detection of lineaments from LANDSAT images in United Arab Emirate (UAE)
title_full_unstemmed Automatic detection of lineaments from LANDSAT images in United Arab Emirate (UAE)
title_short Automatic detection of lineaments from LANDSAT images in United Arab Emirate (UAE)
title_sort automatic detection of lineaments from landsat images in united arab emirate (uae)
topic Q Science (General)
url http://eprints.utm.my/1088/
http://eprints.utm.my/1088/1/DP-08.pdf