{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,16]],"date-time":"2026-02-16T18:56:47Z","timestamp":1771268207208,"version":"3.50.1"},"reference-count":37,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Basic Research Program of China","doi-asserted-by":"publisher","award":["2016YFE0200700"],"award-info":[{"award-number":["2016YFE0200700"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61627820"],"award-info":[{"award-number":["61627820"]}],"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":["61934003"],"award-info":[{"award-number":["61934003"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Jilin Province Development and Reform Commission Project","award":["2019C054-1"],"award-info":[{"award-number":["2019C054-1"]}]},{"name":"Jilin Province Development and Reform Commission Project","award":["2020C019-2"],"award-info":[{"award-number":["2020C019-2"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2020]]},"DOI":"10.1109\/access.2020.2981357","type":"journal-article","created":{"date-parts":[[2020,3,17]],"date-time":"2020-03-17T21:04:29Z","timestamp":1584479069000},"page":"55991-55999","source":"Crossref","is-referenced-by-count":13,"title":["Point Cloud Classification Model Based on a Dual-Input Deep Network Framework"],"prefix":"10.1109","volume":"8","author":[{"given":"Ruifeng","family":"Zhai","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9206-9480","authenticated-orcid":false,"given":"Xueyan","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhenxin","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shuxu","family":"Guo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shuzhao","family":"Hou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yu","family":"Hou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fengli","family":"Gao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Junfeng","family":"Song","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref33","first-page":"2579","article-title":"Visualizing data using t-SNE","volume":"9","author":"van der maaten","year":"2008","journal-title":"J Mach Learn Res"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.701"},{"key":"ref31","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014","journal-title":"arXiv 1412 6980"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00167"},{"key":"ref37","article-title":"Geometric back-projection network for point cloud classification","author":"qiu","year":"2019","journal-title":"arXiv 1911 12885"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2018.09.008"},{"key":"ref35","first-page":"87","article-title":"SpiderCNN: Deep learning on point sets with parameterized convolutional filters","author":"xu","year":"2018","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2018.2850061"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2017.08.010"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.5194\/isprs-archives-XLII-2-W3-339-2017"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.683"},{"key":"ref13","first-page":"5099","article-title":"PointNet: Deep hierarchical feature learning on point sets in a metric space","author":"qi","year":"2017","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref14","first-page":"820","article-title":"PointCNN: Convolution on X-transformed points","author":"li","year":"2018","journal-title":"Proc Conf Workshop Neural Inf Process Syst (NIPS)"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.114"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2015.7353481"},{"key":"ref17","article-title":"Multiview based 3D scene understanding on partial point sets","author":"zhu","year":"2018","journal-title":"arXiv 1812 01712"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/3240508.3240702"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.609"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298682"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.691"},{"key":"ref27","article-title":"FusionNet: 3D object classification using multiple data representations","author":"hegde","year":"2016","journal-title":"arXiv 1607 05695"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.16"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2014.2359951"},{"key":"ref29","first-page":"1912","article-title":"3D ShapeNets: A deep representation for volumetric shapes","author":"wu","year":"2015","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit (CVPR)"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1080\/19479832.2016.1160960"},{"key":"ref8","doi-asserted-by":"crossref","first-page":"1499","DOI":"10.3390\/rs11121499","article-title":"A review on deep learning techniques for 3D sensed data classification","volume":"11","author":"griffiths","year":"2019","journal-title":"Remote Sens"},{"key":"ref7","article-title":"A review of point cloud semantic segmentation","author":"xie","year":"2019","journal-title":"arXiv 1908 08854"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.3390\/rs9050476"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2017.03.010"},{"key":"ref1","doi-asserted-by":"crossref","first-page":"373","DOI":"10.3390\/rs9040373","article-title":"Multispectral LiDAR point cloud classification: A two-step approach","volume":"9","author":"chen","year":"2017","journal-title":"Remote Sens"},{"key":"ref20","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2014","journal-title":"arXiv 1409 1556"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2908983"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2018.09.075"},{"key":"ref26","article-title":"An analysis of over-relaxation in kinetic approximation","author":"drui","year":"2018","journal-title":"arXiv 1807 05695"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1023\/B:VISI.0000029664.99615.94"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8948470\/09039638.pdf?arnumber=9039638","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,27]],"date-time":"2022-01-27T17:11:40Z","timestamp":1643303500000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9039638\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"references-count":37,"URL":"https:\/\/doi.org\/10.1109\/access.2020.2981357","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]}}}