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

Abdul Qayyum, Aamir Saeed Malik, Mohamad Naufal Mohamad Saad, Mahboob Iqbal, Rana Fayyaz Ahmad, Tuan Ab Rashid Bin Tuan Abdullah, Ahmad Quisti Ramli

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publication2014 IEEE International Conference on Smart Instrumentation, Measurement and Applications, ICSIMA 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479980413
DOIs
Publication statusPublished - 23 Feb 2015
Event2014 IEEE International Conference on Smart Instrumentation, Measurement and Applications, ICSIMA 2014 - Kuala Lumpur, Malaysia
Duration: 25 Nov 2014 → …

Publication series

Name2014 IEEE International Conference on Smart Instrumentation, Measurement and Applications, ICSIMA 2014

Other

Other2014 IEEE International Conference on Smart Instrumentation, Measurement and Applications, ICSIMA 2014
CountryMalaysia
CityKuala Lumpur
Period25/11/14 → …

Fingerprint

dynamic programming
power lines
vegetation
Dynamic programming
Satellites
Monitoring
blackout
electricity
Industry
Electricity
finance
Finance
Power transmission
imagery
transmission lines
high voltages
Poles
Electric lines
poles
industries

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Instrumentation

Cite this

Qayyum, A., Malik, A. S., Mohamad Saad, M. N., Iqbal, M., Ahmad, R. F., Tuan Abdullah, T. A. R. B., & Ramli, A. Q. (2015). Monitoring of vegetation near power lines based on dynamic programming using satellite stereo images. In 2014 IEEE International Conference on Smart Instrumentation, Measurement and Applications, ICSIMA 2014 [7047429] (2014 IEEE International Conference on Smart Instrumentation, Measurement and Applications, ICSIMA 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICSIMA.2014.7047429
Qayyum, Abdul ; Malik, Aamir Saeed ; Mohamad Saad, Mohamad Naufal ; Iqbal, Mahboob ; Ahmad, Rana Fayyaz ; Tuan Abdullah, Tuan Ab Rashid Bin ; Ramli, Ahmad Quisti. / Monitoring of vegetation near power lines based on dynamic programming using satellite stereo images. 2014 IEEE International Conference on Smart Instrumentation, Measurement and Applications, ICSIMA 2014. Institute of Electrical and Electronics Engineers Inc., 2015. (2014 IEEE International Conference on Smart Instrumentation, Measurement and Applications, ICSIMA 2014).
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abstract = "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.",
author = "Abdul Qayyum and Malik, {Aamir Saeed} and {Mohamad Saad}, {Mohamad Naufal} and Mahboob Iqbal and Ahmad, {Rana Fayyaz} and {Tuan Abdullah}, {Tuan Ab Rashid Bin} and Ramli, {Ahmad Quisti}",
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Qayyum, A, Malik, AS, Mohamad Saad, MN, Iqbal, M, Ahmad, RF, Tuan Abdullah, TARB & Ramli, AQ 2015, Monitoring of vegetation near power lines based on dynamic programming using satellite stereo images. in 2014 IEEE International Conference on Smart Instrumentation, Measurement and Applications, ICSIMA 2014., 7047429, 2014 IEEE International Conference on Smart Instrumentation, Measurement and Applications, ICSIMA 2014, Institute of Electrical and Electronics Engineers Inc., 2014 IEEE International Conference on Smart Instrumentation, Measurement and Applications, ICSIMA 2014, Kuala Lumpur, Malaysia, 25/11/14. https://doi.org/10.1109/ICSIMA.2014.7047429

Monitoring of vegetation near power lines based on dynamic programming using satellite stereo images. / Qayyum, Abdul; Malik, Aamir Saeed; Mohamad Saad, Mohamad Naufal; Iqbal, Mahboob; Ahmad, Rana Fayyaz; Tuan Abdullah, Tuan Ab Rashid Bin; Ramli, Ahmad Quisti.

2014 IEEE International Conference on Smart Instrumentation, Measurement and Applications, ICSIMA 2014. Institute of Electrical and Electronics Engineers Inc., 2015. 7047429 (2014 IEEE International Conference on Smart Instrumentation, Measurement and Applications, ICSIMA 2014).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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T1 - Monitoring of vegetation near power lines based on dynamic programming using satellite stereo images

AU - Qayyum, Abdul

AU - Malik, Aamir Saeed

AU - Mohamad Saad, Mohamad Naufal

AU - Iqbal, Mahboob

AU - Ahmad, Rana Fayyaz

AU - Tuan Abdullah, Tuan Ab Rashid Bin

AU - Ramli, Ahmad Quisti

PY - 2015/2/23

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N2 - 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.

AB - 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.

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M3 - Conference contribution

AN - SCOPUS:84934324356

T3 - 2014 IEEE International Conference on Smart Instrumentation, Measurement and Applications, ICSIMA 2014

BT - 2014 IEEE International Conference on Smart Instrumentation, Measurement and Applications, ICSIMA 2014

PB - Institute of Electrical and Electronics Engineers Inc.

ER -

Qayyum A, Malik AS, Mohamad Saad MN, Iqbal M, Ahmad RF, Tuan Abdullah TARB et al. Monitoring of vegetation near power lines based on dynamic programming using satellite stereo images. In 2014 IEEE International Conference on Smart Instrumentation, Measurement and Applications, ICSIMA 2014. Institute of Electrical and Electronics Engineers Inc. 2015. 7047429. (2014 IEEE International Conference on Smart Instrumentation, Measurement and Applications, ICSIMA 2014). https://doi.org/10.1109/ICSIMA.2014.7047429