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

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dc.citedby5
dc.contributor.authorQayyum A.en_US
dc.contributor.authorMalik A.S.en_US
dc.contributor.authorSaad M.N.M.en_US
dc.contributor.authorIqbal M.en_US
dc.contributor.authorAbdullah M.F.en_US
dc.contributor.authorAbdullah T.A.R.B.T.en_US
dc.contributor.authorRamli A.Q.en_US
dc.contributor.authorid57211138712en_US
dc.contributor.authorid12800348400en_US
dc.contributor.authorid56567441400en_US
dc.contributor.authorid54386959400en_US
dc.contributor.authorid57188825497en_US
dc.contributor.authorid56594684600en_US
dc.contributor.authorid35779000400en_US
dc.date.accessioned2023-05-29T06:00:49Z
dc.date.available2023-05-29T06:00:49Z
dc.date.issued2015
dc.description.abstractContinuous 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. � 2014 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo7047425
dc.identifier.doi10.1109/ICSIMA.2014.7047425
dc.identifier.scopus2-s2.0-84934300446
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84934300446&doi=10.1109%2fICSIMA.2014.7047425&partnerID=40&md5=4acf54b48ffb7b24876f4c154f60a0a5
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/22411
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.sourceScopus
dc.sourcetitle2014 IEEE International Conference on Smart Instrumentation, Measurement and Applications, ICSIMA 2014
dc.titlePower lines vegetation enchroachment monitoring based on satellite stereo images using stereo matchingen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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