{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,11]],"date-time":"2026-06-11T15:30:37Z","timestamp":1781191837790,"version":"3.54.1"},"reference-count":65,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"name":"Shenzhen Science and Technology Program","award":["KQTD20190929172704911"],"award-info":[{"award-number":["KQTD20190929172704911"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing"],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/jstars.2024.3469269","type":"journal-article","created":{"date-parts":[[2024,9,27]],"date-time":"2024-09-27T18:36:20Z","timestamp":1727462180000},"page":"18096-18111","source":"Crossref","is-referenced-by-count":5,"title":["Weakly-Supervised Semantic Segmentation of ALS Point Clouds Based on Auxiliary Line and Plane Point Prediction"],"prefix":"10.1109","volume":"17","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5840-0021","authenticated-orcid":false,"given":"Jintao","family":"Chen","sequence":"first","affiliation":[{"name":"School of Aeronautics and Astronautics, Shenzhen Campus of Sun Yat-Sen University, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9890-8380","authenticated-orcid":false,"given":"Yan","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Electronics and Communication Engineering, Shenzhen Campus of Sun Yat-Sen University, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0493-6263","authenticated-orcid":false,"given":"Feifan","family":"Ma","sequence":"additional","affiliation":[{"name":"School of Aeronautics and Astronautics, Shenzhen Campus of Sun Yat-Sen University, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0071-7522","authenticated-orcid":false,"given":"Kun","family":"Huang","sequence":"additional","affiliation":[{"name":"School of Aeronautics and Astronautics, Shenzhen Campus of Sun Yat-Sen University, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6379-2955","authenticated-orcid":false,"given":"Zhuangbin","family":"Tan","sequence":"additional","affiliation":[{"name":"School of Aeronautics and Astronautics, Shenzhen Campus of Sun Yat-Sen University, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuanjie","family":"Qi","sequence":"additional","affiliation":[{"name":"School of Aeronautics and Astronautics, Shenzhen Campus of Sun Yat-Sen University, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jing","family":"Li","sequence":"additional","affiliation":[{"name":"School of Electronics and Communication Engineering, Shenzhen Campus of Sun Yat-Sen University, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2022.03.019"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2020.02.005"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3076107"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.16"},{"key":"ref5","first-page":"5105","article-title":"PointNet : Deep hierarchical feature learning on point sets in a metric space","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Charles","year":"2017"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/3326362"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00651"},{"key":"ref8","first-page":"7192","article-title":"PointDAN: A multiscale 3D domain adaption network for point cloud representation","volume-title":"Proc. Int. Conf. Adv. Neural Inf. Process. Syst.","author":"Qin","year":"2019"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3171038"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/WACV48630.2021.00017"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/s11704-022-2435-4"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2023.3297631"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2023.3304116"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2022.04.016"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00444"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2020.09.003"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2023.09.002"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00634"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-20062-5_10"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.5194\/isprsannals-i-3-293-2012"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1127\/1432-8364\/2010\/0041"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.3390\/ijgi9070450"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2019.00167"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00492"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00961"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00319"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01112"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01427"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00180"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/s41095-021-0229-5"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01595"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2023.3294246"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2023.3285207"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2023.3323963"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3158362"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1049\/cit2.12239"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2022.3190709"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01372"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2023.3281151"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01153"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/WACV56688.2023.00425"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00708"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00627"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2023.3301278"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01262"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-02375-0_21"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2020.3037702"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.65"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01054"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58574-7_21"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58565-5_14"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i2.16232"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00830"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19815-1_3"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2023.3322509"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2022.3212914"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1088\/1361-6501\/ad0a23"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2022.03.001"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1007\/s41064-019-00073-0"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.3390\/s18103347"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2021.04.017"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2021.04.016"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2021.3113047"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01523"},{"key":"ref65","first-page":"1195","article-title":"Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results","volume-title":"Proc. Int. Conf. Adv. Neural Inf. Process. Syst.","volume":"30","author":"Tarvainen","year":"2017"}],"container-title":["IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/4609443\/10330207\/10696960.pdf?arnumber=10696960","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,18]],"date-time":"2024-10-18T04:38:58Z","timestamp":1729226338000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10696960\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":65,"URL":"https:\/\/doi.org\/10.1109\/jstars.2024.3469269","relation":{},"ISSN":["1939-1404","2151-1535"],"issn-type":[{"value":"1939-1404","type":"print"},{"value":"2151-1535","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]}}}