Identification of power poles based on satellite stereo images using graph-cut algorithm

Monitoring vegetation encroachment for high voltage transmission lines is a challenging job for electrical distribution companies. The encroachment interrupts electrical supply to industrial sectors and residential areas. It also endures a great cost to the authorities for maintenance and damage com...

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Main Authors: Qayyum, Abdul, Malik, Aamir Saeed, Mohamad Saad, Mohamad Naufal, Ahmad, Rana Fayyaz, Taun Abdullah, Taun Ab Rashid
Format: Conference or Workshop Item
Published: 2015
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Online Access:http://eprints.utp.edu.my/11816/1/Identification%20of%20power%20poles%20based%20on%20satellite%20stereo%20images%20using%20graph-cut%20algorithm.pdf
http://eprints.utp.edu.my/11816/
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Institution: Universiti Teknologi Petronas
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spelling my.utp.eprints.118162016-10-07T01:42:44Z Identification of power poles based on satellite stereo images using graph-cut algorithm Qayyum, Abdul Malik, Aamir Saeed Mohamad Saad, Mohamad Naufal Ahmad, Rana Fayyaz Taun Abdullah, Taun Ab Rashid Q Science (General) T Technology (General) Monitoring vegetation encroachment for high voltage transmission lines is a challenging job for electrical distribution companies. The encroachment interrupts electrical supply to industrial sectors and residential areas. It also endures a great cost to the authorities for maintenance and damage compensation. This brings a necessity for companies to monitor the vegetation near power lines. To solve these issues, existing monitoring methods are time consuming and expensive. In this paper, we proposed a new method to detect the vegetation using satellite stereo imagery. The method is based on Graph-Cut algorithm which applied on satellite stereo images. We incorporated the ordering constrain with Graph-Cut on stereo images to detect occlusion on stereo matching algorithm. This will increase the accuracy of the disparity map which is required task for identification of power poles near vegetation based on satellite stereo images. In conclusion, based on the results, Our proposed Graph-Cut algorithm produces more accurate disparity maps than the existing matching algorithm used for disparity calculation. 2015-03 Conference or Workshop Item PeerReviewed application/pdf http://eprints.utp.edu.my/11816/1/Identification%20of%20power%20poles%20based%20on%20satellite%20stereo%20images%20using%20graph-cut%20algorithm.pdf Qayyum, Abdul and Malik, Aamir Saeed and Mohamad Saad, Mohamad Naufal and Ahmad, Rana Fayyaz and Taun Abdullah, Taun Ab Rashid (2015) Identification of power poles based on satellite stereo images using graph-cut algorithm. In: 2015 IEEE 11th International Colloquium on Signal Processing & Its Applications (CSPA). http://eprints.utp.edu.my/11816/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
topic Q Science (General)
T Technology (General)
spellingShingle Q Science (General)
T Technology (General)
Qayyum, Abdul
Malik, Aamir Saeed
Mohamad Saad, Mohamad Naufal
Ahmad, Rana Fayyaz
Taun Abdullah, Taun Ab Rashid
Identification of power poles based on satellite stereo images using graph-cut algorithm
description Monitoring vegetation encroachment for high voltage transmission lines is a challenging job for electrical distribution companies. The encroachment interrupts electrical supply to industrial sectors and residential areas. It also endures a great cost to the authorities for maintenance and damage compensation. This brings a necessity for companies to monitor the vegetation near power lines. To solve these issues, existing monitoring methods are time consuming and expensive. In this paper, we proposed a new method to detect the vegetation using satellite stereo imagery. The method is based on Graph-Cut algorithm which applied on satellite stereo images. We incorporated the ordering constrain with Graph-Cut on stereo images to detect occlusion on stereo matching algorithm. This will increase the accuracy of the disparity map which is required task for identification of power poles near vegetation based on satellite stereo images. In conclusion, based on the results, Our proposed Graph-Cut algorithm produces more accurate disparity maps than the existing matching algorithm used for disparity calculation.
format Conference or Workshop Item
author Qayyum, Abdul
Malik, Aamir Saeed
Mohamad Saad, Mohamad Naufal
Ahmad, Rana Fayyaz
Taun Abdullah, Taun Ab Rashid
author_facet Qayyum, Abdul
Malik, Aamir Saeed
Mohamad Saad, Mohamad Naufal
Ahmad, Rana Fayyaz
Taun Abdullah, Taun Ab Rashid
author_sort Qayyum, Abdul
title Identification of power poles based on satellite stereo images using graph-cut algorithm
title_short Identification of power poles based on satellite stereo images using graph-cut algorithm
title_full Identification of power poles based on satellite stereo images using graph-cut algorithm
title_fullStr Identification of power poles based on satellite stereo images using graph-cut algorithm
title_full_unstemmed Identification of power poles based on satellite stereo images using graph-cut algorithm
title_sort identification of power poles based on satellite stereo images using graph-cut algorithm
publishDate 2015
url http://eprints.utp.edu.my/11816/1/Identification%20of%20power%20poles%20based%20on%20satellite%20stereo%20images%20using%20graph-cut%20algorithm.pdf
http://eprints.utp.edu.my/11816/
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