Monitoring of vegetation near power lines based on dynamic programming using satellite stereo images

Vegetation encroachment of high voltage power line endorsement space is an exceeding problem for electricity distribution companies. The electrical utilities have responsibility to impose their vegetation management proceeding so as to evade vegetation/ trees near transmission power lines. When the...

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Main Authors: Qayyum A., Malik A.S., Mohamad Saad M.N., Iqbal M., Ahmad R.F., Tuan Abdullah T.A.R.B., Ramli A.Q.
Other Authors: 57211138712
Format: Conference Paper
Published: Institute of Electrical and Electronics Engineers Inc. 2023
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Institution: Universiti Tenaga Nasional
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spelling my.uniten.dspace-224102023-05-29T14:00:48Z Monitoring of vegetation near power lines based on dynamic programming using satellite stereo images Qayyum A. Malik A.S. Mohamad Saad M.N. Iqbal M. Ahmad R.F. Tuan Abdullah T.A.R.B. Ramli A.Q. 57211138712 12800348400 56567441400 54386959400 56039696500 56594684600 35779000400 Vegetation encroachment of high voltage power line endorsement space is an exceeding problem for electricity distribution companies. The electrical utilities have responsibility to impose their vegetation management proceeding so as to evade vegetation/ trees near transmission power lines. When the height of trees/vegetation is increased and it makes a contact with the power lines, it may antecedent the power lines in result of blackouts. Blackouts come about due to vegetation encroachments can cause impressive compensation. The uninterrupted electric supply is very imperative for industries, businesses, and populous areas. It is indispensable for electricity companies to monitor the vegetation/trees near power lines, There are many approaches applicable to monitor vegetation/trees near the transmission line poles, but these approaches are time inefficient in terms of time and finance. In this paper, a novel technique for depth estimation of vegetation/trees is proposed. In the study, Dynamic Programming is employed on stereo satellite images to determine depth of vegetation and trees. The experimental results on QuickBird imagery exhibit that the proposed technique performs better compared to block matching technique in terms of accuracy. � 2014 IEEE. Final 2023-05-29T06:00:48Z 2023-05-29T06:00:48Z 2015 Conference Paper 10.1109/ICSIMA.2014.7047429 2-s2.0-84934324356 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84934324356&doi=10.1109%2fICSIMA.2014.7047429&partnerID=40&md5=34fa0ef8628f997e27f25900f01ececb https://irepository.uniten.edu.my/handle/123456789/22410 7047429 Institute of Electrical and Electronics Engineers Inc. Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description Vegetation encroachment of high voltage power line endorsement space is an exceeding problem for electricity distribution companies. The electrical utilities have responsibility to impose their vegetation management proceeding so as to evade vegetation/ trees near transmission power lines. When the height of trees/vegetation is increased and it makes a contact with the power lines, it may antecedent the power lines in result of blackouts. Blackouts come about due to vegetation encroachments can cause impressive compensation. The uninterrupted electric supply is very imperative for industries, businesses, and populous areas. It is indispensable for electricity companies to monitor the vegetation/trees near power lines, There are many approaches applicable to monitor vegetation/trees near the transmission line poles, but these approaches are time inefficient in terms of time and finance. In this paper, a novel technique for depth estimation of vegetation/trees is proposed. In the study, Dynamic Programming is employed on stereo satellite images to determine depth of vegetation and trees. The experimental results on QuickBird imagery exhibit that the proposed technique performs better compared to block matching technique in terms of accuracy. � 2014 IEEE.
author2 57211138712
author_facet 57211138712
Qayyum A.
Malik A.S.
Mohamad Saad M.N.
Iqbal M.
Ahmad R.F.
Tuan Abdullah T.A.R.B.
Ramli A.Q.
format Conference Paper
author Qayyum A.
Malik A.S.
Mohamad Saad M.N.
Iqbal M.
Ahmad R.F.
Tuan Abdullah T.A.R.B.
Ramli A.Q.
spellingShingle Qayyum A.
Malik A.S.
Mohamad Saad M.N.
Iqbal M.
Ahmad R.F.
Tuan Abdullah T.A.R.B.
Ramli A.Q.
Monitoring of vegetation near power lines based on dynamic programming using satellite stereo images
author_sort Qayyum A.
title Monitoring of vegetation near power lines based on dynamic programming using satellite stereo images
title_short Monitoring of vegetation near power lines based on dynamic programming using satellite stereo images
title_full Monitoring of vegetation near power lines based on dynamic programming using satellite stereo images
title_fullStr Monitoring of vegetation near power lines based on dynamic programming using satellite stereo images
title_full_unstemmed Monitoring of vegetation near power lines based on dynamic programming using satellite stereo images
title_sort monitoring of vegetation near power lines based on dynamic programming using satellite stereo images
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2023
_version_ 1806427694602125312