Vegetation height estimation near power transmission poles via satellite stereo images using 3D depth estimation algorithms

Monitoring vegetation encroachment under overhead high voltage power line is a challenging problem for electricity distribution companies. Absence of proper monitoring could result in damage to the power lines and consequently cause blackout. This will affect electric power supply to industries, b...

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Main Authors: Qayyum, Abdul, Malik, Aamir Saeed, Mohamad Saad, Mohamad Naufal, Iqbal, Mahboob, Abdullah, Mohd Faris, Rasheed, Waqas, Tuan Abdullah, Tuan Ab Rashid, Ramli, A Q
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Published: 2015
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Online Access:http://eprints.utp.edu.my/11834/1/Vegetation%20height%20estimation%20near%20power%20transmission%20poles%20via%20satellite%20stereo%20images%20using%203D%20depth%20estimation%20algorithms.pdf
http://eprints.utp.edu.my/11834/
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Institution: Universiti Teknologi Petronas
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spelling my.utp.eprints.118342016-10-07T01:42:42Z Vegetation height estimation near power transmission poles via satellite stereo images using 3D depth estimation algorithms Qayyum, Abdul Malik, Aamir Saeed Mohamad Saad, Mohamad Naufal Iqbal, Mahboob Abdullah, Mohd Faris Rasheed, Waqas Tuan Abdullah, Tuan Ab Rashid Ramli, A Q Q Science (General) T Technology (General) Monitoring vegetation encroachment under overhead high voltage power line is a challenging problem for electricity distribution companies. Absence of proper monitoring could result in damage to the power lines and consequently cause blackout. This will affect electric power supply to industries, businesses, and daily life. Therefore, to avoid the blackouts, it is mandatory to monitor the vegetation/trees near power transmission lines. Unfortunately, the existing approaches are more time consuming and expensive. In this paper, we have proposed a novel approach to monitor the vegetation/trees near or under the power transmission poles using satellite stereo images, which were acquired using Pleiades satellites. The 3D depth of vegetation has been measured near power transmission lines using stereo algorithms. The area of interest scanned by Pleiades satellite sensors is 100 square kilometer. Our dataset covers power transmission poles in a state called Sabah in East Malaysia, encompassing a total of 52 poles in the area of 100 km. We have compared the results of Pleiades satellite stereo images using dynamic programming and Graph-Cut algorithms, consequently comparing satellites’ imaging sensors and Depth-estimation Algorithms. Our results show that Graph-Cut Algorithm performs better than dynamic programming (DP) in terms of accuracy and speed. 2015-05 Conference or Workshop Item PeerReviewed application/pdf http://eprints.utp.edu.my/11834/1/Vegetation%20height%20estimation%20near%20power%20transmission%20poles%20via%20satellite%20stereo%20images%20using%203D%20depth%20estimation%20algorithms.pdf Qayyum, Abdul and Malik, Aamir Saeed and Mohamad Saad, Mohamad Naufal and Iqbal, Mahboob and Abdullah, Mohd Faris and Rasheed, Waqas and Tuan Abdullah, Tuan Ab Rashid and Ramli, A Q (2015) Vegetation height estimation near power transmission poles via satellite stereo images using 3D depth estimation algorithms. In: 36th International Symposium on Remote Sensing of Environment, Berlin, Germany. http://eprints.utp.edu.my/11834/
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
Iqbal, Mahboob
Abdullah, Mohd Faris
Rasheed, Waqas
Tuan Abdullah, Tuan Ab Rashid
Ramli, A Q
Vegetation height estimation near power transmission poles via satellite stereo images using 3D depth estimation algorithms
description Monitoring vegetation encroachment under overhead high voltage power line is a challenging problem for electricity distribution companies. Absence of proper monitoring could result in damage to the power lines and consequently cause blackout. This will affect electric power supply to industries, businesses, and daily life. Therefore, to avoid the blackouts, it is mandatory to monitor the vegetation/trees near power transmission lines. Unfortunately, the existing approaches are more time consuming and expensive. In this paper, we have proposed a novel approach to monitor the vegetation/trees near or under the power transmission poles using satellite stereo images, which were acquired using Pleiades satellites. The 3D depth of vegetation has been measured near power transmission lines using stereo algorithms. The area of interest scanned by Pleiades satellite sensors is 100 square kilometer. Our dataset covers power transmission poles in a state called Sabah in East Malaysia, encompassing a total of 52 poles in the area of 100 km. We have compared the results of Pleiades satellite stereo images using dynamic programming and Graph-Cut algorithms, consequently comparing satellites’ imaging sensors and Depth-estimation Algorithms. Our results show that Graph-Cut Algorithm performs better than dynamic programming (DP) in terms of accuracy and speed.
format Conference or Workshop Item
author Qayyum, Abdul
Malik, Aamir Saeed
Mohamad Saad, Mohamad Naufal
Iqbal, Mahboob
Abdullah, Mohd Faris
Rasheed, Waqas
Tuan Abdullah, Tuan Ab Rashid
Ramli, A Q
author_facet Qayyum, Abdul
Malik, Aamir Saeed
Mohamad Saad, Mohamad Naufal
Iqbal, Mahboob
Abdullah, Mohd Faris
Rasheed, Waqas
Tuan Abdullah, Tuan Ab Rashid
Ramli, A Q
author_sort Qayyum, Abdul
title Vegetation height estimation near power transmission poles via satellite stereo images using 3D depth estimation algorithms
title_short Vegetation height estimation near power transmission poles via satellite stereo images using 3D depth estimation algorithms
title_full Vegetation height estimation near power transmission poles via satellite stereo images using 3D depth estimation algorithms
title_fullStr Vegetation height estimation near power transmission poles via satellite stereo images using 3D depth estimation algorithms
title_full_unstemmed Vegetation height estimation near power transmission poles via satellite stereo images using 3D depth estimation algorithms
title_sort vegetation height estimation near power transmission poles via satellite stereo images using 3d depth estimation algorithms
publishDate 2015
url http://eprints.utp.edu.my/11834/1/Vegetation%20height%20estimation%20near%20power%20transmission%20poles%20via%20satellite%20stereo%20images%20using%203D%20depth%20estimation%20algorithms.pdf
http://eprints.utp.edu.my/11834/
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