{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,8]],"date-time":"2026-07-08T17:05:51Z","timestamp":1783530351802,"version":"3.55.0"},"reference-count":45,"publisher":"Informa UK Limited","issue":"1","license":[{"start":{"date-parts":[[2024,4,24]],"date-time":"2024-04-24T00:00:00Z","timestamp":1713916800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["42271449"],"award-info":[{"award-number":["42271449"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["www.tandfonline.com"],"crossmark-restriction":true},"short-container-title":["International Journal of Digital Earth"],"published-print":{"date-parts":[[2024,12,31]]},"DOI":"10.1080\/17538947.2024.2344596","type":"journal-article","created":{"date-parts":[[2024,4,24]],"date-time":"2024-04-24T10:53:30Z","timestamp":1713956010000},"update-policy":"https:\/\/doi.org\/10.1080\/tandf_crossmark_01","source":"Crossref","is-referenced-by-count":12,"title":["TR2RM: an urban road network generation model based on multisource big data"],"prefix":"10.1080","volume":"17","author":[{"given":"Xue","family":"Yang","sequence":"first","affiliation":[{"name":"School of Geography and Information Engineering, China University of Geosciences, Wuhan, People\u2019s Republic of China"},{"name":"National Engineering Research Center of Geographic Information System, China University of Geosciences, Wuhan, People\u2019s Republic of China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiang","family":"Fan","sequence":"additional","affiliation":[{"name":"School of Geography and Information Engineering, China University of Geosciences, Wuhan, People\u2019s Republic of China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yichun","family":"Su","sequence":"additional","affiliation":[{"name":"School of Geography and Information Engineering, China University of Geosciences, Wuhan, People\u2019s Republic of China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qingfeng","family":"Guan","sequence":"additional","affiliation":[{"name":"School of Geography and Information Engineering, China University of Geosciences, Wuhan, People\u2019s Republic of China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Luliang","family":"Tang","sequence":"additional","affiliation":[{"name":"State Key Laboratory for Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, People\u2019s Republic of China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"301","published-online":{"date-parts":[[2024,4,24]]},"reference":[{"key":"e_1_3_4_2_1","doi-asserted-by":"publisher","DOI":"10.3390\/rs12091444"},{"key":"e_1_3_4_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/34.295913"},{"key":"e_1_3_4_4_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10707-014-0222-6"},{"key":"e_1_3_4_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2644615"},{"key":"e_1_3_4_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/VCIP.2017.8305148"},{"key":"e_1_3_4_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2699184"},{"key":"e_1_3_4_8_1","unstructured":"Chen L.-C. G. Papandreou F. Schroff and H. Adam. 2017b. \u201cRethinking Atrous Convolution for Semantic Image Segmentation.\u201d ArXiv Preprint ArXiv:1706.05587."},{"key":"e_1_3_4_9_1","doi-asserted-by":"publisher","DOI":"10.1080\/13658816.2018.1510124"},{"key":"e_1_3_4_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2021.3116281"},{"key":"e_1_3_4_11_1","doi-asserted-by":"crossref","unstructured":"Huang G. Z. Liu L. van der Maaten and K. Q. Weinberger. 2017. \u201cDensely Connected Convolutional Networks.\u201d In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition 4700\u20134708. arXiv:1608.06993.","DOI":"10.1109\/CVPR.2017.243"},{"key":"e_1_3_4_12_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-60633-6_26"},{"key":"e_1_3_4_13_1","doi-asserted-by":"crossref","unstructured":"Huang Z. X. Wang L. Huang C. Huang Y. Wei and W. Liu. 2019. \u201cCcnet: Criss-Cross Attention for Semantic Segmentation.\u201d In Proceedings of the IEEE\/CVF International Conference on Computer Vision 603\u2013612.","DOI":"10.1109\/ICCV.2019.00069"},{"key":"e_1_3_4_14_1","doi-asserted-by":"crossref","unstructured":"Juh\u00e1sz L. P. Mooney H. H. Hochmair and B. Guan. 2023. \u201cChatGPT as a Mapping Assistant: A Novel Method to Enrich Maps with Generative AI and Content Derived from Street-Level Photographs.\u201d arXiv preprint arXiv:2306.03204.","DOI":"10.31223\/X5HQ1P"},{"key":"e_1_3_4_15_1","doi-asserted-by":"publisher","DOI":"10.1080\/13658816.2012.730148"},{"key":"e_1_3_4_16_1","doi-asserted-by":"crossref","unstructured":"Karras T. S. Laine and T. Aila. 2019. \u201cA Style-Based Generator Architecture for Generative Adversarial Networks.\u201d In Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition 4401\u20134410.","DOI":"10.1109\/CVPR.2019.00453"},{"key":"e_1_3_4_17_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2012.09.007"},{"key":"e_1_3_4_18_1","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2021.3094673"},{"key":"e_1_3_4_19_1","doi-asserted-by":"publisher","DOI":"10.1049\/ipr2.12320"},{"key":"e_1_3_4_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2021.3102320"},{"key":"e_1_3_4_21_1","doi-asserted-by":"publisher","DOI":"10.1117\/12.813220"},{"key":"e_1_3_4_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2870871"},{"key":"e_1_3_4_23_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2020.102930"},{"key":"e_1_3_4_24_1","unstructured":"Medioni G. C. K. Tang and M. S. Lee. 2000. \u201cTensor Voting: Theory and Applications.\u201d In Proceedings of RFIA 2000."},{"key":"e_1_3_4_25_1","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2014.2312000"},{"key":"e_1_3_4_26_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-60663-7_18"},{"key":"e_1_3_4_27_1","doi-asserted-by":"publisher","DOI":"10.3390\/ijgi11100502"},{"key":"e_1_3_4_28_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"e_1_3_4_29_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE.2018.00186"},{"key":"e_1_3_4_30_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i01.5435"},{"key":"e_1_3_4_31_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.1994.323794"},{"key":"e_1_3_4_32_1","doi-asserted-by":"crossref","unstructured":"Sun T. Z. Di P. Che C. Liu and Y. Wang. 2019a. \u201cLeveraging Crowdsourced GPS Data for Road Extraction from Aerial Imagery.\u201d Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition 7509\u20137518.","DOI":"10.1109\/CVPR.2019.00769"},{"key":"e_1_3_4_33_1","unstructured":"Sun K. Y. Zhao B. Jiang T. Cheng B. Xiao D. Liu Y. Mu X. Wang W. Liu and J. Wang. 2019b. High-resolution representations for labeling pixels and regions. ArXiv Preprint ArXiv:1904.04514."},{"key":"e_1_3_4_34_1","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2018.00163"},{"key":"e_1_3_4_35_1","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2021.3050477"},{"key":"e_1_3_4_36_1","doi-asserted-by":"crossref","unstructured":"Wegner J. D. J. A. Montoya-Zegarra and K. Schindler. 2013. \u201cA higher-order CRF model for road network extraction.\u201d In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition 1698\u20131705.","DOI":"10.1109\/CVPR.2013.222"},{"key":"e_1_3_4_37_1","doi-asserted-by":"publisher","DOI":"10.3390\/ijgi8120571"},{"key":"e_1_3_4_38_1","doi-asserted-by":"publisher","DOI":"10.1080\/17538947.2022.2159080"},{"key":"e_1_3_4_39_1","doi-asserted-by":"publisher","DOI":"10.1080\/13658816.2021.1902530"},{"key":"e_1_3_4_40_1","doi-asserted-by":"publisher","DOI":"10.1080\/13658816.2019.1702197"},{"key":"e_1_3_4_41_1","doi-asserted-by":"publisher","DOI":"10.1080\/13658816.2017.1402913"},{"key":"e_1_3_4_42_1","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.3003425"},{"key":"e_1_3_4_43_1","doi-asserted-by":"publisher","DOI":"10.1145\/357994.358023"},{"key":"e_1_3_4_44_1","unstructured":"Zhang C. C. Zhang C. Li Y. Qiao S. Zheng S. K. Dam M. Zhang et al. 2023. \u201cOne Small Step for Generative AI One Giant Leap for AGI: A Complete Survey on Chatgpt in AIGC Era.\u201d arXiv preprint arXiv:2304.06488."},{"key":"e_1_3_4_45_1","doi-asserted-by":"crossref","unstructured":"Zhou L. C. Zhang and M. Wu. 2018. \u201cD-LinkNet: LinkNet with Pretrained Encoder and Dilated Convolution for High Resolution Satellite Imagery Road Extraction.\u201d In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops 182\u2013186.","DOI":"10.1109\/CVPRW.2018.00034"},{"key":"e_1_3_4_46_1","doi-asserted-by":"crossref","unstructured":"Zhu J. Y. T. Park P. Isola and A. A. Efros. 2017. \u201cUnpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks.\u201d In Proceedings of the IEEE International Conference on Computer Vision 2223\u20132232.","DOI":"10.1109\/ICCV.2017.244"}],"container-title":["International Journal of Digital Earth"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.tandfonline.com\/doi\/pdf\/10.1080\/17538947.2024.2344596","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,21]],"date-time":"2025-01-21T19:09:23Z","timestamp":1737486563000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.tandfonline.com\/doi\/full\/10.1080\/17538947.2024.2344596"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,4,24]]},"references-count":45,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2024,12,31]]}},"alternative-id":["10.1080\/17538947.2024.2344596"],"URL":"https:\/\/doi.org\/10.1080\/17538947.2024.2344596","relation":{},"ISSN":["1753-8947","1753-8955"],"issn-type":[{"value":"1753-8947","type":"print"},{"value":"1753-8955","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,4,24]]},"assertion":[{"value":"The publishing and review policy for this title is described in its Aims & Scope.","order":1,"name":"peerreview_statement","label":"Peer Review Statement"},{"value":"http:\/\/www.tandfonline.com\/action\/journalInformation?show=aimsScope&journalCode=tjde20","URL":"http:\/\/www.tandfonline.com\/action\/journalInformation?show=aimsScope&journalCode=tjde20","order":2,"name":"aims_and_scope_url","label":"Aim & Scope"},{"value":"2023-12-04","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2024-04-14","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2024-04-24","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}],"article-number":"2344596"}}