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

3 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 → …

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Instrumentation

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  • 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