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dc.contributor.authorMunir, Nosheen
dc.contributor.authorAwrangjeb, Mohammad
dc.contributor.authorStantic, Bela
dc.date.accessioned2020-03-02T03:35:41Z
dc.date.available2020-03-02T03:35:41Z
dc.date.issued2019
dc.identifier.isbn9781728138572
dc.identifier.doi10.1109/dicta47822.2019.8946085
dc.identifier.urihttp://hdl.handle.net/10072/392034
dc.description.abstractThe speedy development in electricity infrastructure due to urge in domestic and business usage requires a safe and secure maintenance of power line corridor (PLC) for the delivery of uninterrupted power supply to consumers. Inspection of PLC using light detection and ranging (LiDAR) has gain importance in the recent decade. In this paper, we have presented a new method for automatic extraction of wires from PLC using LiDAR point cloud data. Firstly, the pylons and vegetations around the PLC is removed by using their shape and area properties. Then, pylon locations are used to extract the wire points in the form of span between two consecutive pylons. These spans are divided into several segments such that each segment has slice of wires from span. A clustering algorithm based on the Euclidean distance is further used to separate wires which are at different height levels in each segment and the wire-count on each cluster is generated by defining the distance thresholds. Each clustered points are projected into a plane perpendicular to the direction of wires. Finally, wires are separated by fitting a 2D line and by using point and line distance formula. Results are presented on different spans from complex and semi-complex datasets with low point density. Experimental results show that the proposed method is able to extract the single or bundle wires with completeness and correctness of 99% and 100% respectively.
dc.description.peerreviewedYes
dc.languageEnglish
dc.publisherIEEE
dc.relation.ispartofconferencenameDigital Image Computing: Techniques and Applications (DICTA 2019)
dc.relation.ispartofconferencetitle2019 Digital Image Computing: Techniques and Applications (DICTA)
dc.relation.ispartofdatefrom2019-12-02
dc.relation.ispartofdateto2019-12-04
dc.relation.ispartoflocationPerth, Australia
dc.relation.ispartofpagefrom238
dc.relation.ispartofpagefrom8 pages
dc.relation.ispartofpageto245
dc.relation.ispartofpageto8 pages
dc.subject.fieldofresearchArtificial Intelligence and Image Processing
dc.subject.fieldofresearchcode0801
dc.titleAn Automated Method for Individual Wire Extraction from Power Line Corridor using LiDAR Data
dc.typeConference output
dc.type.descriptionE1 - Conferences
dcterms.bibliographicCitationMunir, N; Awrangjeb, M; Stantic, B, An Automated Method for Individual Wire Extraction from Power Line Corridor using LiDAR Data, 2019 Digital Image Computing: Techniques and Applications (DICTA), 2019
dc.date.updated2020-02-28T05:58:06Z
dc.description.versionAccepted Manuscript (AM)
gro.rights.copyright© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
gro.hasfulltextFull Text
gro.griffith.authorAwrangjeb, Mohammad
gro.griffith.authorMunir, Nosheen
gro.griffith.authorStantic, Bela


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