{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,3]],"date-time":"2026-07-03T23:51:25Z","timestamp":1783122685384,"version":"3.54.6"},"reference-count":52,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"name":"Nonprofit Research Project of Jiaxing City","award":["2022AY30001"],"award-info":[{"award-number":["2022AY30001"]}]},{"name":"Inner Research Fund of Nanhu Laboratory"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2022]]},"DOI":"10.1109\/access.2022.3229589","type":"journal-article","created":{"date-parts":[[2022,12,15]],"date-time":"2022-12-15T19:55:34Z","timestamp":1671134134000},"page":"132584-132595","source":"Crossref","is-referenced-by-count":7,"title":["Paddy Rice Mapping Using a Dual-Path Spatio-Temporal Network Based on Annual Time-Series Sentinel-2 Images"],"prefix":"10.1109","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5569-2329","authenticated-orcid":false,"given":"Hui","family":"Wang","sequence":"first","affiliation":[{"name":"Research Center of Big Data Technology, Nanhu Laboratory, Jiaxing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6639-7448","authenticated-orcid":false,"given":"Bo","family":"Zhao","sequence":"additional","affiliation":[{"name":"Research Center of Big Data Technology, Nanhu Laboratory, Jiaxing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7464-1968","authenticated-orcid":false,"given":"Panpan","family":"Tang","sequence":"additional","affiliation":[{"name":"Research Center of Big Data Technology, Nanhu Laboratory, Jiaxing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuxiang","family":"Wang","sequence":"additional","affiliation":[{"name":"PIESAT Information Technology Company Ltd., Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Haoming","family":"Wan","sequence":"additional","affiliation":[{"name":"Research Center of Big Data Technology, Nanhu Laboratory, Jiaxing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shi","family":"Bai","sequence":"additional","affiliation":[{"name":"Research Center of Big Data Technology, Nanhu Laboratory, Jiaxing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ronghao","family":"Wei","sequence":"additional","affiliation":[{"name":"Zhejiang Institute of Hydraulics &#x0026; Estuary, Hangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1080\/01431161.2012.738946"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2016.02.016"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1222474110"},{"key":"ref4","volume-title":"FAOSTAT","year":"2022"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/S0065-2113(09)01003-7"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.12911\/22998993\/108651"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.scitotenv.2022.158474"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/s11442-013-1059-x"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.3390\/su11020542"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2005.10.004"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1080\/01431161.2012.661091"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.3390\/rs71215808"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1080\/01431161.2017.1404162"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.image.2020.116061"},{"key":"ref15","article-title":"On the performance of filters for reduction of speckle noise in SAR images off the coast of the Gulf of Guinea","author":"Klogo","year":"2013","journal-title":"arXiv:1312.2383"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2021.06.018"},{"issue":"10","key":"ref17","doi-asserted-by":"crossref","first-page":"1171","DOI":"10.14358\/PERS.72.10.1171","article-title":"Landsat","volume":"72","author":"Williams","year":"2006","journal-title":"Photogramm. Eng. Remote Sens."},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2011.05.028"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2011.11.026"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2004.12.009"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2015.05.011"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2019.2906684"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.3390\/rs10111840"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.3390\/rs12233959"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.3390\/rs61212789"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2020.01.001"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2017.03.029"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.3390\/rs8010019"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.3390\/agronomy11071365"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.3390\/rs11141699"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1080\/15481603.2019.1658960"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.3390\/rs12101620"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.3390\/rs12162655"},{"key":"ref34","first-page":"1","article-title":"Convolutional LSTM network: A machine learning approach for precipitation nowcasting","volume-title":"Proc. NIPS","volume":"28","author":"Shi"},{"key":"ref35","article-title":"Convolutional LSTMs for cloud-robust segmentation of remote sensing imagery","author":"Ru\u00dfwurm","year":"2018","journal-title":"arXiv:1811.02471"},{"key":"ref36","first-page":"75","article-title":"Semantic segmentation of crop type in Africa: A novel dataset and analysis of deep learning methods","volume-title":"Proc. CVPR Workshops","author":"Rustowicz"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2020.11.007"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00483"},{"key":"ref39","volume-title":"National Earth System Science Data Center, National Science & Technology Infrastructure of China","year":"2022"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1080\/17538947.2016.1187673"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2020.111745"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1016\/j.jag.2020.102065"},{"key":"ref43","first-page":"21","article-title":"Layer normalization","volume":"1050","author":"Ba","year":"2016","journal-title":"Stat"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01167"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.660"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01228-1_26"},{"key":"ref47","article-title":"Rethinking atrous convolution for semantic image segmentation","author":"Chen","year":"2017","journal-title":"arXiv:1706.05587"},{"key":"ref48","first-page":"12077","article-title":"SegFormer: Simple and efficient design for semantic segmentation with transformers","volume-title":"Proc. NIPS","volume":"34","author":"Xie"},{"key":"ref49","article-title":"MLP-mixer: An all-MLP architecture for vision","volume-title":"Proc. NIPS","volume":"34","author":"Tolstikhin"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00474"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW50498.2020.00359"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4899-7502-7_79-1"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/9668973\/09987500.pdf?arnumber=9987500","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T06:35:30Z","timestamp":1706769330000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9987500\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":52,"URL":"https:\/\/doi.org\/10.1109\/access.2022.3229589","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]}}}