Publication:
Measuring height of high-voltage transmission poles using unmanned aerial vehicle (UAV) imagery

Simple item page
dc.citedby4
dc.contributor.authorQayyum A.en_US
dc.contributor.authorMalik A.S.en_US
dc.contributor.authorSaad N.M.en_US
dc.contributor.authorbin Abdullah M.F.en_US
dc.contributor.authorIqbal M.en_US
dc.contributor.authorRasheed W.en_US
dc.contributor.authorBin Ab Abdullah A.R.en_US
dc.contributor.authorHj Jaafar M.Y.en_US
dc.contributor.authorid57211138712en_US
dc.contributor.authorid12800348400en_US
dc.contributor.authorid56567441400en_US
dc.contributor.authorid57188825497en_US
dc.contributor.authorid54386959400en_US
dc.contributor.authorid24475459400en_US
dc.contributor.authorid56594684600en_US
dc.contributor.authorid57193571865en_US
dc.date.accessioned2023-05-29T06:38:57Z
dc.date.available2023-05-29T06:38:57Z
dc.date.issued2017
dc.descriptionAerial photography; Classification (of information); Cost effectiveness; Electric power transmission; Graphic methods; Object detection; Poles; Remote sensing; Stereo image processing; Vehicle transmissions; Depth Map; Disparity map; Global information systems; Graph cut; High voltage transmissions; Ortho-rectification; Remote sensing applications; Stereo matching algorithm; Unmanned aerial vehicles (UAV)en_US
dc.description.abstractAerial imagery is important in remote sensing applications. Unmanned aerial vehicle (UAV) has a wide range of applications in remote sensing and presents a substantial cost-effective solution when monitoring objects on the earth�s surface. Moreover, object detection and classification are important aspects of global information system, especially for remote sensing applications and power line monitoring, which are essential for the proper distribution of electricity to consumers. Manual inspection consumes much time and involves risk, especially in remote areas that host dangerous wildlife; hence, UAV-based approaches are more feasible for such monitoring. The authors propose an UAV approach that utilises a digital surface model and incorporates a stereo matching algorithm based on UAV stereo images. The proposed algorithm was based on a graph-cut (GC) algorithm that measured the disparity map. Results were compared with well-known algorithms; including, for example, global and local stereo matching algorithms. The proposed solution introduces and integrates ordering constraints along with a submodular energy minimisation function to/with the GC algorithm to enhance performance. The authors measured sensitivity and recall for all parameters against ground truth data for differently cropped images of 16 power poles. Results showed that the proposed model performed more accurately compared to extant methods. � 2017 The Royal Photographic Society.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1080/13682199.2017.1299304
dc.identifier.epage150
dc.identifier.issue3
dc.identifier.scopus2-s2.0-85015034122
dc.identifier.spage137
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85015034122&doi=10.1080%2f13682199.2017.1299304&partnerID=40&md5=2626acf1dc0e76d12fbc59fade22496e
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/23269
dc.identifier.volume65
dc.publisherTaylor and Francis Ltd.en_US
dc.sourceScopus
dc.sourcetitleImaging Science Journal
dc.titleMeasuring height of high-voltage transmission poles using unmanned aerial vehicle (UAV) imageryen_US
dc.typeArticleen_US
dspace.entity.typePublication
Files
Collections
SCOPUS