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Dynamic programming based comparison including QuickBird and IKONOS satellite stereo images for monitoring vegetation near power poles

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dc.contributor.authorQayyum A.en_US
dc.contributor.authorMalik A.S.en_US
dc.contributor.authorNaufal M.en_US
dc.contributor.authorSaad M.en_US
dc.contributor.authorIqbal M.en_US
dc.contributor.authorAhmad R.F.en_US
dc.contributor.authorAbdullah T.A.R.B.T.en_US
dc.contributor.authorid57211138712en_US
dc.contributor.authorid12800348400en_US
dc.contributor.authorid57034338400en_US
dc.contributor.authorid56567441400en_US
dc.contributor.authorid54386959400en_US
dc.contributor.authorid56039696500en_US
dc.contributor.authorid56594684600en_US
dc.date.accessioned2023-05-16T02:45:58Z
dc.date.available2023-05-16T02:45:58Z
dc.date.issued2014
dc.description.abstractVegetation encroachment under overhead high voltage power line and its monitoring is a challenging problem for electricity distribution companies. Blackout can occurs if proper monitoring of vegetation is not done. The uninterrupted electric power supply is vital for industries, businesses, and daily life. Therefore, it is mandatory for electricity companies to monitor the vegetation/trees near power lines to avoid the blackouts. Many approaches are employed to monitor vegetation/trees near the transmission line poles, but these approaches are more time consuming and expensive. In this paper, we have proposed a novel approach to monitor the vegetation near or under the power poles using satellite stereo images which were acquired using QuickBird and IKONOS satellites. 3D depth of vegetation has been measured using stereo algorithm incorporating dynamic programming. We have also compared the results of QuickBird and IKONOS satellite stereo images. Results showed that QuickBird satellite image performs well as compared to IKONOS using stereo vision global optimization dynamic programming algorithm in terms of accuracy and speed. © 2014 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo7072784
dc.identifier.doi10.1109/ICCSCE.2014.7072784
dc.identifier.epage581
dc.identifier.scopus2-s2.0-84988246841
dc.identifier.spage576
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84988246841&doi=10.1109%2fICCSCE.2014.7072784&partnerID=40&md5=ed94b733377f14a4f6bda428711b4eb6
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/21904
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.sourceScopus
dc.sourcetitleProceedings - 4th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2014
dc.titleDynamic programming based comparison including QuickBird and IKONOS satellite stereo images for monitoring vegetation near power polesen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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