Publication:
Vegetation height estimation near power transmission poles via satellite stereo images using 3D depth estimation algorithms

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dc.citedby4
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 F.en_US
dc.contributor.authorRahseed W.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.authorid56668727200en_US
dc.contributor.authorid56594684600en_US
dc.contributor.authorid35779000400en_US
dc.date.accessioned2023-05-29T06:00:28Z
dc.date.available2023-05-29T06:00:28Z
dc.date.issued2015
dc.descriptionDynamic programming; Electric lines; Electric utilities; Graph algorithms; Graphic methods; Poles; Power transmission; Remote sensing; Satellites; Stereo image processing; Transmissions; Vegetation; 3D depth approach; Graph cut; QuickBird satellite; Satellite sensors; Stereo matching; Outagesen_US
dc.description.abstractMonitoring vegetation encroachment under overhead high voltage power line is a challenging problem for electricity distribution companies. Absence of proper monitoring could result in damage to the power lines and consequently cause blackout. This will affect electric power supply to industries, businesses, and daily life. Therefore, to avoid the blackouts, it is mandatory to monitor the vegetation/trees near power transmission lines. Unfortunately, the existing approaches are more time consuming and expensive. In this paper, we have proposed a novel approach to monitor the vegetation/trees near or under the power transmission poles using satellite stereo images, which were acquired using Pleiades satellites. The 3D depth of vegetation has been measured near power transmission lines using stereo algorithms. The area of interest scanned by Pleiades satellite sensors is 100 square kilometer. Our dataset covers power transmission poles in a state called Sabah in East Malaysia, encompassing a total of 52 poles in the area of 100 km. We have compared the results of Pleiades satellite stereo images using dynamic programming and Graph-Cut algorithms, consequently comparing satellites' imaging sensors and Depth-estimation Algorithms. Our results show that Graph-Cut Algorithm performs better than dynamic programming (DP) in terms of accuracy and speed.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.5194/isprsarchives-XL-7-W3-489-2015
dc.identifier.epage494
dc.identifier.issue7W3
dc.identifier.scopus2-s2.0-84930385091
dc.identifier.spage489
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84930385091&doi=10.5194%2fisprsarchives-XL-7-W3-489-2015&partnerID=40&md5=3cbf9c70c5f5b5486db36553861a4b03
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/22359
dc.identifier.volume40
dc.publisherInternational Society for Photogrammetry and Remote Sensingen_US
dc.relation.ispartofAll Open Access, Gold, Green
dc.sourceScopus
dc.sourcetitleInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
dc.titleVegetation height estimation near power transmission poles via satellite stereo images using 3D depth estimation algorithmsen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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