{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,9]],"date-time":"2026-06-09T17:58:02Z","timestamp":1781027882558,"version":"3.54.1"},"reference-count":30,"publisher":"Informa UK Limited","issue":"2","license":[{"start":{"date-parts":[[2021,10,29]],"date-time":"2021-10-29T00:00:00Z","timestamp":1635465600000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["grant numbers 41771457 and 41601443"],"award-info":[{"award-number":["grant numbers 41771457 and 41601443"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Research Program of the Department of Natural Resources of Hubei Province of China","award":["grant number ZRZY2020KJ03"],"award-info":[{"award-number":["grant number ZRZY2020KJ03"]}]}],"content-domain":{"domain":["www.tandfonline.com"],"crossmark-restriction":true},"short-container-title":["Geo-spatial Information Science"],"published-print":{"date-parts":[[2022,4,3]]},"DOI":"10.1080\/10095020.2021.1978275","type":"journal-article","created":{"date-parts":[[2021,10,29]],"date-time":"2021-10-29T10:26:21Z","timestamp":1635503181000},"page":"155-168","update-policy":"https:\/\/doi.org\/10.1080\/tandf_crossmark_01","source":"Crossref","is-referenced-by-count":33,"title":["SAR image water extraction using the attention U-net and multi-scale level set method: flood monitoring in South China in 2020 as a test case"],"prefix":"10.1080","volume":"25","author":[{"given":"Chuan","family":"Xu","sequence":"first","affiliation":[{"name":"School of Computer Science, Hubei University of Technology, Wuhan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shanshan","family":"Zhang","sequence":"additional","affiliation":[{"name":"Geographic Information Center, GuangZhou Urban Planning & Design Survey Research Institute, Guangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bofei","family":"Zhao","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chang","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Computer Science, Hubei University of Technology, Wuhan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Haigang","family":"Sui","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wei","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Information Science and Engineering, Wuchang Shouyi University, Wuhan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Liye","family":"Mei","sequence":"additional","affiliation":[{"name":"The Institute of Technological Sciences, Wuhan University, Wuhan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"301","published-online":{"date-parts":[[2021,10,29]]},"reference":[{"key":"e_1_3_3_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2016.2520487"},{"key":"e_1_3_3_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2004.1421665"},{"key":"e_1_3_3_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2005.106"},{"key":"e_1_3_3_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2644615"},{"key":"e_1_3_3_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00464"},{"key":"e_1_3_3_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2016.2539957"},{"key":"e_1_3_3_8_1","doi-asserted-by":"publisher","DOI":"10.1007\/s42979-020-00278-w"},{"key":"e_1_3_3_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/83.902291"},{"key":"e_1_3_3_10_1","article-title":"Rethinking Atrous Convolution for Semantic Image Segmentation","volume":"1706","author":"Chen L. C.","year":"2017","unstructured":"Chen, L. C., G. Papandreou, F. Schroff, and H. Adam. 2017. \u201cRethinking Atrous Convolution for Semantic Image Segmentation.\u201d arXiv Preprint arXiv:1706.05587.","journal-title":"arXiv Preprint"},{"key":"e_1_3_3_11_1","first-page":"357","article-title":"Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs","volume":"4","author":"Chen L. C.","year":"2014","unstructured":"Chen, L. C., G. Papandreou, I. Kokkinos, K. Murphy, and A. L. Yuille. 2014. \u201cSemantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs.\u201d Computer Vision and Pattern Recognition 4: 357\u2013361.","journal-title":"Computer Vision and Pattern Recognition"},{"key":"e_1_3_3_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2797536"},{"key":"e_1_3_3_13_1","doi-asserted-by":"publisher","DOI":"10.1080\/01431160512331326747"},{"key":"e_1_3_3_14_1","doi-asserted-by":"publisher","DOI":"10.1080\/10095020.2020.1805367"},{"key":"e_1_3_3_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.2001.976175"},{"key":"e_1_3_3_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2006.877308"},{"key":"e_1_3_3_17_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jag.2018.05.023"},{"key":"e_1_3_3_18_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"e_1_3_3_19_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-017-2505-y"},{"key":"e_1_3_3_20_1","doi-asserted-by":"publisher","DOI":"10.1117\/1.JRS.12.015002"},{"key":"e_1_3_3_21_1","doi-asserted-by":"publisher","DOI":"10.1002\/cpa.3160420503"},{"key":"e_1_3_3_22_1","volume-title":"1st Conference on Medical Imaging with Deep Learning (MIDL 2018)","author":"Oktay O.","year":"2018","unstructured":"Oktay, O., J. Schlemper, L. L. Folgoc, M. Lee, M. Heinrich, K. Misawa, K. Mori, S. Mcdonagh, N. Y. Hammerla, and B. Kainz. 2018. \u201cAttention U-Net: Learning Where to Look for the Pancreas.\u201d 1st Conference on Medical Imaging with Deep Learning (MIDL 2018), Amsterdam, The Netherlands"},{"key":"e_1_3_3_23_1","volume-title":"31st Conference on Neural Information Processing Systems","author":"Paszke A.","year":"2017","unstructured":"Paszke, A., S. Gross, S. Chintala, G. Chanan, E. Yang, Z. Devito, Z. Lin, A. Desmaison, L. Antiga, and A. Lerer. 2017. \u201cAutomatic Differentiation in PyTorch.\u201d 31st Conference on Neural Information Processing Systems (NIPS), Long Beach, CA, USA"},{"key":"e_1_3_3_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/CCDC.2013.6561279"},{"key":"e_1_3_3_25_1","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2008.2001768"},{"key":"e_1_3_3_26_1","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2009.2017283"},{"key":"e_1_3_3_27_1","volume-title":"the International Conference on Learning Representations (ICLR)","author":"Yu F.","year":"2016","unstructured":"Yu, F., and V. Koltun 2016. \u201cMulti-Scale Context Aggregation by Dilated Convolutions.\u201d the International Conference on Learning Representations (ICLR). San Juan, Puerto Rico."},{"key":"e_1_3_3_28_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2020.07.110"},{"key":"e_1_3_3_29_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2015.2409119"},{"key":"e_1_3_3_30_1","doi-asserted-by":"publisher","DOI":"10.1080\/10095020.2020.1860653"},{"key":"e_1_3_3_31_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2019.2959609"}],"container-title":["Geo-spatial Information Science"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.tandfonline.com\/doi\/pdf\/10.1080\/10095020.2021.1978275","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,4,12]],"date-time":"2024-04-12T15:21:18Z","timestamp":1712935278000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.tandfonline.com\/doi\/full\/10.1080\/10095020.2021.1978275"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,10,29]]},"references-count":30,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2022,4,3]]}},"alternative-id":["10.1080\/10095020.2021.1978275"],"URL":"https:\/\/doi.org\/10.1080\/10095020.2021.1978275","relation":{},"ISSN":["1009-5020","1993-5153"],"issn-type":[{"value":"1009-5020","type":"print"},{"value":"1993-5153","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,10,29]]},"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=tgsi20","URL":"http:\/\/www.tandfonline.com\/action\/journalInformation?show=aimsScope&journalCode=tgsi20","order":2,"name":"aims_and_scope_url","label":"Aim & Scope"},{"value":"2020-10-23","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2021-09-06","order":1,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2021-10-29","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}