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Designing of disparity map based on hierarchical dynamic programming using satellite stereo imagery

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dc.citedby1
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.authorMazher M.en_US
dc.contributor.authorRasheed W.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.authorid57189096519en_US
dc.contributor.authorid24475459400en_US
dc.contributor.authorid56594684600en_US
dc.date.accessioned2023-05-29T06:12:28Z
dc.date.available2023-05-29T06:12:28Z
dc.date.issued2016
dc.descriptionAlgorithms; Biomedical engineering; Electric lines; Electric power systems; Electric utilities; Image acquisition; Image matching; Poles; Satellite imagery; Satellites; Stereo image processing; Students; Vegetation; Disparity map; Dynamic programming algorithm; Electricity distribution companies; High-voltage power line; IKONOS satellite; Ikonos satellite image; Stereo matching algorithm; Transmission poles; Dynamic programmingen_US
dc.description.abstractVegetation encroachment and its monitoring near high voltage power line is a challenging problem for electricity distribution companies. Electric supply companies monitor the vegetation/trees near power lines to avoid the blackouts that may occur in case of an improper monitoring of vegetation. The uninterrupted electric power supply is vital for industries, businesses, and daily life. 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 satellite images and calculated disparity map using stereo matching algorithms i.e. dynamic programming (DP) and Hierarchical dynamic programming (HDP). The 3D depth of vegetation is based on disparity map which has been measured using stereo algorithms. Results showed that HDP performs well as compared to DP based on QuickBird and IKONOS satellite stereo images in terms of accuracy. � 2015 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo7435881
dc.identifier.doi10.1109/ISSBES.2015.7435881
dc.identifier.epage127
dc.identifier.scopus2-s2.0-84965161730
dc.identifier.spage122
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84965161730&doi=10.1109%2fISSBES.2015.7435881&partnerID=40&md5=683ff48ca6025c2aacaacc471dbd35c3
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/22822
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.sourceScopus
dc.sourcetitleISSBES 2015 - IEEE Student Symposium in Biomedical Engineering and Sciences: By the Student for the Student
dc.titleDesigning of disparity map based on hierarchical dynamic programming using satellite stereo imageryen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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