Power lines vegetation enchroachment monitoring based on satellite stereo images using stereo matching

Abdul Qayyum, Aamir Saeed Malik, Mohamad Naufal Mohamad Saad, Mahboob Iqbal, M. F. Abdullah, Tuan Ab Rashid Bin Tuan Abdullah, Ahmad Quisti Ramli

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

2 Citations (Scopus)

Abstract

Continuous monitoring the vegetation encroachment for high voltage transmission lines is challenging task for electrical distribution authorities. The enchroachment causes interruption which results in blackouts. It also endures great cost to the authorities for maintenance and damage compensation. There are many methods available to monitor growth of vegetation near transmission line poles. However, these methods are constrained with time consumption and cost. In this paper,a new method based estimating 3D height/depth of vegetation or trees near transmission lines using satellite stereo vision is proposed. We have evaluated local methods of stereo matching using Quickbird Satellite stereo images and compare the performance of stereo matching cost functions in terms of processing speed and time. Results show that our proposed algorithm is faster and more accurate than the existing algorithm for disparity calculation.

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 → …

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All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Instrumentation

Cite this

Qayyum, A., Malik, A. S., Saad, M. N. M., Iqbal, M., Abdullah, M. F., Abdullah, T. A. R. B. T., & Ramli, A. Q. (2015). Power lines vegetation enchroachment monitoring based on satellite stereo images using stereo matching. In 2014 IEEE International Conference on Smart Instrumentation, Measurement and Applications, ICSIMA 2014 [7047425] (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.2014.7047425