{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,19]],"date-time":"2026-05-19T18:31:21Z","timestamp":1779215481205,"version":"3.51.4"},"reference-count":46,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"name":"Youth Project of Science and Technology Research Program of Chongqing Education Commission of China","award":["KJQN201903112"],"award-info":[{"award-number":["KJQN201903112"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2019]]},"DOI":"10.1109\/access.2019.2957825","type":"journal-article","created":{"date-parts":[[2019,12,5]],"date-time":"2019-12-05T16:14:57Z","timestamp":1575562497000},"page":"176884-176895","source":"Crossref","is-referenced-by-count":24,"title":["OpenStreetMap Data Quality Assessment via Deep Learning and Remote Sensing Imagery"],"prefix":"10.1109","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8496-2279","authenticated-orcid":false,"given":"Xuejing","family":"Xie","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6278-4141","authenticated-orcid":false,"given":"Yi","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7421-4915","authenticated-orcid":false,"given":"Yongyang","family":"Xu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6509-2394","authenticated-orcid":false,"given":"Yunbing","family":"Hu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3274-1220","authenticated-orcid":false,"given":"Chunling","family":"Wu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"ref38","article-title":"Feature pyramid networks for object detection","author":"lin","year":"2016","journal-title":"arXiv 1612 03144"},{"key":"ref33","author":"stockman","year":"2001","journal-title":"Computer Vision"},{"key":"ref32","author":"diffs","year":"2018","journal-title":"Minutely Diffs"},{"key":"ref31","year":"2018","journal-title":"Geofabrik&#x2019;s Free Download Server"},{"key":"ref30","year":"2018","journal-title":"Stats-OpenStreetMap Wiki"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1145\/3065386"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2016.2582921"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.2015.7326745"},{"key":"ref34","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2014","journal-title":"arXiv 1409 1556"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1080\/13658816.2017.1341632"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2009.2012488"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.5194\/isprsarchives-XL-2-W1-155-2013"},{"key":"ref12","first-page":"1490","article-title":"Quality analysis on crowd sourcing geographic data with open street map data","volume":"38","author":"wang","year":"2013","journal-title":"Geomatics Inf Sci Wuhan Univ"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1080\/13658816.2013.867495"},{"key":"ref14","first-page":"1","article-title":"Assessing osm road positional quality with authoritative data","author":"antunes","year":"2015","journal-title":"Proc 8th Conf Nacional de Cartografia e Geodesia"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.4018\/978-1-5225-2446-5.ch002"},{"key":"ref16","doi-asserted-by":"crossref","first-page":"137","DOI":"10.1007\/s10708-008-9188-y","article-title":"The credibility and evaluation of volunteered geographic information","volume":"72","author":"chao","year":"2008","journal-title":"GeoJournal"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1068\/b35097"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-11593-1_9"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.5194\/isprsannals-II-3-W5-345-2015"},{"key":"ref28","first-page":"180","article-title":"Semantic segmentation of Earth observation data using multimodal and multi-scale deep networks","author":"audebert","year":"2016","journal-title":"Proc ACCV"},{"key":"ref4","first-page":"113","article-title":"Generating up-to-date and detailed land use and land cover maps using OpenStreetMap and globeland30","volume":"6","author":"fonte","year":"2017","journal-title":"Int J Geograph Inf Sci"},{"key":"ref27","article-title":"U-Net: Convolutional networks for biomedical image segmentation","volume":"9351","author":"ronneberger","year":"2015","journal-title":"Proc Int Conf Med Image Comput Comput -Assisted Intervent"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1080\/13658816.2014.909045"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1080\/13658816.2011.575074"},{"key":"ref29","doi-asserted-by":"crossref","first-page":"158","DOI":"10.1016\/j.isprsjprs.2017.11.009","article-title":"Classification with an edge: Improving semantic image segmentation with boundary detection","volume":"135","author":"marmanis","year":"2017","journal-title":"ISPRS J Photogram Remote Sens"},{"key":"ref5","first-page":"50","article-title":"An algorithm based methodology for the creation of a regularly updated global online map derived from volunteered geographic information","author":"goetz","year":"2012","journal-title":"Proc 4th Int Conf Adv Geographic Inf Syst Appl Services"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/s10708-008-9188-y"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1201\/b16524-10"},{"key":"ref2","article-title":"Open street map as a source of information for a freight transport planning system","volume":"631","author":"sierpi?ski","year":"2017","journal-title":"Proc Sci Tech Conf Transp Syst Theory Pract"},{"key":"ref9","year":"2018","journal-title":"TIGER-OpenStreetMap Wiki"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/s10708-007-9111-y"},{"key":"ref46","year":"2018","journal-title":"Digital Data"},{"key":"ref20","author":"arsanjani","year":"2013","journal-title":"Assessing the Quality of OpenStreetMap Contributors together with their Contributions"},{"key":"ref45","year":"2018","journal-title":"SpaceNet Dataset"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1111\/tgis.12073"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.3390\/fi4010285"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.3390\/rs9050446"},{"key":"ref24","first-page":"271","article-title":"A review of road extraction from remote sensing images","volume":"3","author":"wang","year":"2016","journal-title":"International Journal for Traffic and Transport Engineering"},{"key":"ref41","first-page":"1","article-title":"ADAM: A method for stochastic optimization","author":"kingma","year":"2015","journal-title":"Proc 3rd Int Conf Learn Represent"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.3390\/rs10010144"},{"key":"ref44","year":"2018","journal-title":"ISPRS Dataset"},{"key":"ref26","article-title":"Classification of remote sensed images using random forests and deep learning framework","volume":"10004","author":"piramanayagam","year":"2016","journal-title":"Proc SPIE"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-08180-9_14"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.3390\/rs10091461"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8600701\/08924753.pdf?arnumber=8924753","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T11:31:22Z","timestamp":1641987082000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8924753\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"references-count":46,"URL":"https:\/\/doi.org\/10.1109\/access.2019.2957825","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019]]}}}