{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,6]],"date-time":"2026-03-06T05:57:10Z","timestamp":1772776630091,"version":"3.50.1"},"reference-count":76,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"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":["2024YFD1500603-03"],"award-info":[{"award-number":["2024YFD1500603-03"]}]},{"name":"International Research Center of Big Data for Sustainable Development Goals","award":["E23Z0501"],"award-info":[{"award-number":["E23Z0501"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["41971395"],"award-info":[{"award-number":["41971395"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing"],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/jstars.2025.3587896","type":"journal-article","created":{"date-parts":[[2025,7,14]],"date-time":"2025-07-14T17:43:09Z","timestamp":1752514989000},"page":"19407-19424","source":"Crossref","is-referenced-by-count":1,"title":["A Fine Agricultural Flood Segmentation Model for HJ-2E S-Band SAR Data"],"prefix":"10.1109","volume":"18","author":[{"given":"Mingyang","family":"Song","sequence":"first","affiliation":[{"name":"Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2508-6800","authenticated-orcid":false,"given":"Lu","family":"Xu","sequence":"additional","affiliation":[{"name":"Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-4136-5366","authenticated-orcid":false,"given":"Nanhuanuowa","family":"Zhu","sequence":"additional","affiliation":[{"name":"Satellite Application Center for Ecology and Environment, Ministry of Ecology and Environment, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zihuan","family":"Guo","sequence":"additional","affiliation":[{"name":"Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-6975-4287","authenticated-orcid":false,"given":"Haoxuan","family":"Duan","sequence":"additional","affiliation":[{"name":"Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiahua","family":"Teng","sequence":"additional","affiliation":[{"name":"Satellite Application Center for Ecology and Environment, Ministry of Ecology and Environment, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xia","family":"Lei","sequence":"additional","affiliation":[{"name":"Satellite Application Center for Ecology and Environment, Ministry of Ecology and Environment, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lijun","family":"Zuo","sequence":"additional","affiliation":[{"name":"Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2024.114417"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1038\/s44221-023-00040-5"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1038\/s43247-020-00044-z"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-022-30727-4"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2023.113714"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-023-36129-4"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.jhydrol.2024.132326"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/MGRS.2024.3496075"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.jag.2024.104251"},{"key":"ref10","article-title":"Kuro Siwo: 12.1 billion m2 under the water. A global multi-temporal satellite dataset for rapid flood mapping","author":"Ioannis Bountos","year":"2023"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3199036"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.3390\/rs11070879"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.jag.2024.103662"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1038\/s41597-025-04554-3"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.jhydrol.2022.128001"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/tgrs.2022.3147429"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.jhydrol.2023.129455"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1080\/01431161.2017.1420938"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2019.111582"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-019-13184-4"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.3390\/rs17020342"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.jag.2023.103197"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2021.08.016"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.scitotenv.2023.161757"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2022.3194375"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.3390\/rs14194708"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.3390\/rs17040564"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.3390\/rs15215247"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.3390\/rs15092363"},{"key":"ref31","article-title":"An image is worth 16x16 words: Transformers for image recognition at scale","author":"Dosovitskiy","year":"2020"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2024.05.018"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2024.3397797"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3152247"},{"key":"ref35","article-title":"SAM 2: Segment anything in images and videos","author":"Ravi","year":"2024"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00371"},{"key":"ref37","article-title":"SAM2-UNet: Segment anything 2 makes strong encoder for natural and medical image segmentation","author":"Xiong","year":"2024"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/jmass.2025.3542124"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2024.112544"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1002\/esp.5135"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/j.jag.2021.102400"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1016\/j.jhydrol.2024.131475"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.3390\/rs12162532"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/jstars.2023.3333969"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.3390\/rs8070577"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.3390\/geographies2040045"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2025.114612"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1016\/0924-2716(94)90033-7"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW63382.2024.00047"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.5194\/isprs-archives-xliii-b2-2020-1343-2020"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2022.3205419"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1080\/17538947.2023.2230978"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW50498.2020.00113"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2017.06.031"},{"key":"ref55","article-title":"ESA WorldCover 10 m 2021 v200","author":"Zanaga","year":"2022"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/jstars.2025.3552783"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.01547"},{"key":"ref58","first-page":"27484","article-title":"Change event dataset for discovery from spatio-temporal remote sensing imagery","volume-title":"Proc. 36th Conf. Neural Inf. Process. Syst.","author":"Mall","year":"2022"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1177\/02783649241266853"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.6916"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2024.3383649"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00571"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00554"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.660"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1802.02611"},{"key":"ref68","article-title":"Attention U-Net: Learning where to look for the pancreas","author":"Oktay","year":"2018"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2020.01.013"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00986"},{"key":"ref71","first-page":"12077","article-title":"SegFormer: Simple and efficient design for semantic segmentation with transformers","volume-title":"Proc. 35th Adv. Neural Inf. Process. Syst.","author":"Xie"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1016\/j.jag.2023.103332"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1109\/36.673687"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2010.06.015"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.1109\/tgrs.2013.2268853"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.1109\/jstars.2023.3332423"}],"container-title":["IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/4609443\/10766875\/11079287.pdf?arnumber=11079287","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,12]],"date-time":"2025-08-12T05:22:41Z","timestamp":1754976161000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11079287\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":76,"URL":"https:\/\/doi.org\/10.1109\/jstars.2025.3587896","relation":{},"ISSN":["1939-1404","2151-1535"],"issn-type":[{"value":"1939-1404","type":"print"},{"value":"2151-1535","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]}}}