{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,25]],"date-time":"2026-04-25T02:54:37Z","timestamp":1777085677580,"version":"3.51.4"},"reference-count":30,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"name":"National Key Research and Development Program of China","award":["2022YFB3903700"],"award-info":[{"award-number":["2022YFB3903700"]}]},{"name":"Research Program of Shenzhen S and T Innovation Committee","award":["JCYJ20210324093012033"],"award-info":[{"award-number":["JCYJ20210324093012033"]}]},{"DOI":"10.13039\/501100003453","name":"Natural Science Foundation of Guangdong Province","doi-asserted-by":"publisher","award":["2121A1515012574"],"award-info":[{"award-number":["2121A1515012574"]}],"id":[{"id":"10.13039\/501100003453","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Open Fund of Key Laboratory of Urban Land Resources Monitoring and Simulation","award":["KF-2021-06-125"],"award-info":[{"award-number":["KF-2021-06-125"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["71901147"],"award-info":[{"award-number":["71901147"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["41901329"],"award-info":[{"award-number":["41901329"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["41971354"],"award-info":[{"award-number":["41971354"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["41971341"],"award-info":[{"award-number":["41971341"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Shenzhen Polytechnic Institute of IOT, Shenzhen","award":["518055"],"award-info":[{"award-number":["518055"]}]},{"name":"Shenzhen Polytechnic Institute of IOT, Shenzhen","award":["42001389"],"award-info":[{"award-number":["42001389"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing"],"published-print":{"date-parts":[[2023]]},"DOI":"10.1109\/jstars.2023.3243283","type":"journal-article","created":{"date-parts":[[2023,2,8]],"date-time":"2023-02-08T18:40:39Z","timestamp":1675881639000},"page":"2777-2790","source":"Crossref","is-referenced-by-count":16,"title":["An Individual Tree Segmentation Method From Mobile Mapping Point Clouds Based on Improved 3-D Morphological Analysis"],"prefix":"10.1109","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9941-7556","authenticated-orcid":false,"given":"Weixi","family":"Wang","sequence":"first","affiliation":[{"name":"Key Laboratory of Urban Land Resources Monitoring &amp; Simulation, Ministry of Natural Resources, Shenzhen University, Shenzhen, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuhang","family":"Fan","sequence":"additional","affiliation":[{"name":"Key Laboratory of Urban Land Resources Monitoring &amp; Simulation, Ministry of Natural Resources, Shenzhen University, Shenzhen, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"You","family":"Li","sequence":"additional","affiliation":[{"name":"Guangdong Laboratory of Artificial Intelligence and Digital Economy, Shenzhen University, Shenzhen, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7804-368X","authenticated-orcid":false,"given":"Xiaoming","family":"Li","sequence":"additional","affiliation":[{"name":"Key Laboratory of Urban Land Resources Monitoring &amp; Simulation, Ministry of Natural Resources, Shenzhen University, Shenzhen, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8262-7397","authenticated-orcid":false,"given":"Shengjun","family":"Tang","sequence":"additional","affiliation":[{"name":"Key Laboratory of Urban Land Resources Monitoring &amp; Simulation, Ministry of Natural Resources, Shenzhen University, Shenzhen, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.apacoust.2017.01.007"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.enbuild.2015.06.031"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2021.3051653"},{"issue":"2","key":"ref4","first-page":"1","article-title":"Mobile mapping technology for road network data acquisition","volume":"2","author":"Tao","year":"2000","journal-title":"J. Geospatial Eng."},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2010.2046905"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2012.2222342"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.5194\/isprsannals-I-3-245-2012"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.3390\/rs11242920"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01112"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2015.2467160"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.2015.7325824"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.2991\/icmmct-16.2016.250"},{"issue":"3","key":"ref13","doi-asserted-by":"crossref","DOI":"10.3390\/rs12030515","article-title":"A self-adaptive mean shift tree-segmentation method using UAV LiDAR data","volume":"12","author":"Yan","year":"2020","journal-title":"Remote Sens."},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.2014.6946545"},{"key":"ref15","doi-asserted-by":"crossref","DOI":"10.1016\/j.measurement.2021.110440","article-title":"A branch-trunk-constrained hierarchical clustering method for street trees individual extraction from mobile laser scanning point clouds","volume":"189","author":"Li","year":"2022","journal-title":"Measurement"},{"issue":"6","key":"ref16","doi-asserted-by":"crossref","first-page":"561","DOI":"10.1016\/j.isprsjprs.2009.04.002","article-title":"3D segmentation of single trees exploiting full waveform LiDAR data","volume":"64","author":"Reitberger","year":"2009","journal-title":"ISPRS J. Photogrammetry Remote Sens."},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.5194\/isprsannals-II-5-W2-349-2013"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2016.2565519"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/PRRS.2018.8486220"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1002\/rob.20134"},{"key":"ref21","doi-asserted-by":"crossref","DOI":"10.1016\/j.rse.2021.112857","article-title":"Towards low vegetation identification: A new method for tree crown segmentation from LiDAR data based on a symmetrical structure detection algorithm (SSD)","volume":"270","author":"Huo","year":"2022","journal-title":"Remote Sens. Environ."},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2014.2338915"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2018.2882694"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1111\/2041-210X.13121"},{"issue":"6","key":"ref25","doi-asserted-by":"crossref","first-page":"514","DOI":"10.1016\/j.isprsjprs.2010.08.002","article-title":"A low-cost multi-sensoral mobile mapping system and its feasibility for tree measurements","volume":"65","author":"Jaakkola","year":"2010","journal-title":"ISPRS J. Photogrammetry Remote Sens."},{"key":"ref26","article-title":"An automated approach for street trees detection using mobile laser scanner data","volume":"20","author":"Husain","year":"2020","journal-title":"Remote Sens. Appl.: Soc. Environ."},{"key":"ref27","doi-asserted-by":"crossref","first-page":"19","DOI":"10.1016\/j.isprsjprs.2013.04.002","article-title":"A shape-based segmentation method for mobile laser scanning point clouds","volume":"81","author":"Yang","year":"2013","journal-title":"ISPRS J. Photogrammetry Remote Sens."},{"issue":"3","key":"ref28","doi-asserted-by":"crossref","first-page":"733","DOI":"10.1016\/j.mcm.2012.12.038","article-title":"A method for extracting trees from vehicle-borne laser scanning data","volume":"58","author":"Zhong","year":"2013","journal-title":"Math. Comput. Model."},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2018.2869801"},{"key":"ref30","first-page":"39","article-title":"Voxel based scalable registration of laser scanned point cloud data by neighbourhood voting","volume-title":"Proc. Iqmulus 1st Workshop Process. Large Geospatial Data","author":"Wang","year":"2014"}],"container-title":["IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/4609443\/9973430\/10040735.pdf?arnumber=10040735","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,13]],"date-time":"2024-02-13T14:35:29Z","timestamp":1707834929000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10040735\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":30,"URL":"https:\/\/doi.org\/10.1109\/jstars.2023.3243283","relation":{},"ISSN":["1939-1404","2151-1535"],"issn-type":[{"value":"1939-1404","type":"print"},{"value":"2151-1535","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]}}}