{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,17]],"date-time":"2026-06-17T03:30:31Z","timestamp":1781667031163,"version":"3.54.5"},"reference-count":59,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"10","license":[{"start":{"date-parts":[[2018,10,1]],"date-time":"2018-10-01T00:00:00Z","timestamp":1538352000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["41471360"],"award-info":[{"award-number":["41471360"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing"],"published-print":{"date-parts":[[2018,10]]},"DOI":"10.1109\/jstars.2018.2869542","type":"journal-article","created":{"date-parts":[[2018,9,26]],"date-time":"2018-09-26T19:24:30Z","timestamp":1537989870000},"page":"3892-3904","source":"Crossref","is-referenced-by-count":59,"title":["Voxel-Based Extraction of Transmission Lines From Airborne LiDAR Point Cloud Data"],"prefix":"10.1109","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7530-2623","authenticated-orcid":false,"given":"Juntao","family":"Yang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9728-4702","authenticated-orcid":false,"given":"Zhizhong","family":"Kang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2016.2599163"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2014.2359951"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.1984.4767596"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1145\/218380.218473"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.3390\/rs5041624"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICSIPA.2015.7412219"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/34.765655"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2017.02.012"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2013.10.008"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1023\/A:1010933404324"},{"key":"ref28","doi-asserted-by":"crossref","DOI":"10.3390\/rs9070753","article-title":"A novel method to reconstruct overhead high-voltage power lines using cable inspection robot\n lidar data","volume":"9","author":"qin","year":"2017","journal-title":"Remote Sens"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/s12145-017-0309-3"},{"key":"ref29","doi-asserted-by":"crossref","DOI":"10.3390\/rs9111202","article-title":"Estimating leaf\n area density of individual trees using the point cloud segmentation of terrestrial lidar data and a voxel-based model","volume":"9","author":"li","year":"2017","journal-title":"Remote Sens"},{"key":"ref2","first-page":"393","article-title":"Power transmission tower\n monitoring technology based on TerraSAR-X products","author":"yan","year":"0","journal-title":"Proc Int Symp Lidar Radar Mapp Technol Int Soc Opt Photon"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2016.04.011"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.3390\/rs61111267"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2005.863390"},{"key":"ref21","first-page":"1145","article-title":"Classification of trees and powerlines from medium resolution airborne\n laserscanner data in urban environments","volume":"34","author":"clode","year":"2014","journal-title":"Clin Therapeutics"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.14358\/PERS.79.9.821"},{"key":"ref23","first-page":"253","article-title":"Random forests based multiple classifier system for power-line scene classification","volume":"3812","author":"kim","year":"2011","journal-title":"Int Arch Photogramm Remote Sens Spat Inf Sci"},{"key":"ref26","article-title":"Voxel-based neighborhood\n for spatial shape pattern classification of Lidar point clouds with supervised learning","volume":"17","author":"plazaleiva","year":"2017","journal-title":"SENSORS"},{"key":"ref25","article-title":"Supervised classification of power lines from airborne LiDAR data in urban areas","volume":"9","author":"wang","year":"2017","journal-title":"Remote Sens"},{"key":"ref50","article-title":"A probabilistic approach to semantic representation","volume":"24","author":"griffiths","year":"0","journal-title":"Proc Annu Meet Cogn Sci Soc"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2013.11.001"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.264"},{"key":"ref58","first-page":"1","article-title":"ROC graphs: notes and practical considerations for researchers","volume":"31","author":"fawcett","year":"2003","journal-title":"Pattern Recognit Lett"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2016.7900038"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1016\/j.cad.2009.02.010"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.1999.791245"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2017.04.022"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2017.05.012"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2016.2564501"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.5194\/isprs-archives-XLII-2-W7-297-2017"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2015.7139615"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2016.2628775"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2016.2607521"},{"key":"ref13","first-page":"47","article-title":"Extraction and modeling of power lines from ALS point clouds","author":"melzer","year":"0","journal-title":"Proc Workshop"},{"key":"ref14","first-page":"462","article-title":"Classification of airborne LIDAR intensity data using statistical analysis and\n hough transform with application to power line corridors","author":"liu","year":"2010","journal-title":"Digital Image Comput Tech Appl"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.rsase.2017.10.007"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1080\/01431161.2015.1125549"},{"key":"ref17","first-page":"105?110","article-title":"Automatic 3d powerline\n reconstruction using airborne LiDAR data","author":"jwa","year":"2009","journal-title":"Int Arch Photogramm Remote Sens"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.3390\/rs6043302"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.5194\/isprsannals-I-3-167-2012"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2010.2046905"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.epsr.2012.07.015"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2014.04.015"},{"key":"ref5","first-page":"3642","article-title":"Advances in applications for aerial infrared thermography","volume":"156","author":"tabor","year":"0","journal-title":"Proc SPIE - Int Soc Opt Eng"},{"key":"ref8","first-page":"253","article-title":"Random forests based multiple classifier system for power-line scene classification","volume":"3812","author":"kim","year":"2011","journal-title":"Int Arch Photogramm Remote Sens Spat Inf Sci"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ISIDF.2011.6024293"},{"key":"ref49","first-page":"993","article-title":"Latent\n dirichlet allocation","volume":"3","author":"blei","year":"2003","journal-title":"J Mach Learn Res"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1002\/rob.20424"},{"key":"ref46","first-page":"1\/2","article-title":"Visual categorization with bags of keypoints","volume":"1","author":"csurka","year":"2004","journal-title":"Proc Workshop Statistical Learning in Computer Vision"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2007.4408872"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2010.2090034"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2009.2023536"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1117\/1.JRS.8.083690"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2005.239"},{"key":"ref44","doi-asserted-by":"crossref","first-page":"59","DOI":"10.1016\/j.cviu.2005.09.012","article-title":"Learning\n generative visual models from few training examples: an incremental Bayesian approach tested on 101 object categories","volume":"106","author":"li","year":"2007","journal-title":"Comput Vis Image Understanding"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2006.68"}],"container-title":["IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/4609443\/8493483\/08472117.pdf?arnumber=8472117","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,26]],"date-time":"2022-01-26T18:11:03Z","timestamp":1643220663000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8472117\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,10]]},"references-count":59,"journal-issue":{"issue":"10"},"URL":"https:\/\/doi.org\/10.1109\/jstars.2018.2869542","relation":{},"ISSN":["1939-1404","2151-1535"],"issn-type":[{"value":"1939-1404","type":"print"},{"value":"2151-1535","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,10]]}}}