{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,13]],"date-time":"2026-03-13T21:08:07Z","timestamp":1773436087884,"version":"3.50.1"},"reference-count":18,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,7,1]],"date-time":"2019-07-01T00:00:00Z","timestamp":1561939200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,7,1]],"date-time":"2019-07-01T00:00:00Z","timestamp":1561939200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,7]]},"DOI":"10.1109\/agro-geoinformatics.2019.8820218","type":"proceedings-article","created":{"date-parts":[[2019,9,2]],"date-time":"2019-09-02T21:44:01Z","timestamp":1567460641000},"page":"1-5","source":"Crossref","is-referenced-by-count":5,"title":["Geo-parcel based Crops Classification with Sentinel-1 Time Series Data via Recurrent Reural Network"],"prefix":"10.1109","author":[{"given":"Yingwei","family":"Sun","sequence":"first","affiliation":[{"name":"Chinese Academy of Sciences, University of Chinese Academy of Science, Institute of Remote Sensing and Digital Earth, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiancheng","family":"Luo","sequence":"additional","affiliation":[{"name":"Chinese Academy of Sciences, University of Chinese Academy of Science, Institute of Remote Sensing and Digital Earth, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tianjun","family":"Wu","sequence":"additional","affiliation":[{"name":"Department of Mathematics and Information Science, Chang’an University, Xi’an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yingpin","family":"Yang","sequence":"additional","affiliation":[{"name":"Chinese Academy of Sciences, University of Chinese Academy of Science, Institute of Remote Sensing and Digital Earth, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hao","family":"Liu","sequence":"additional","affiliation":[{"name":"Chinese Academy of Sciences, University of Chinese Academy of Science, Institute of Remote Sensing and Digital Earth, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wen","family":"Dong","sequence":"additional","affiliation":[{"name":"Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lijing","family":"Gao","sequence":"additional","affiliation":[{"name":"Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaodong","family":"Hu","sequence":"additional","affiliation":[{"name":"Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2016.01.004"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2017.2680324"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.3390\/rs11010068"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.geoderma.2019.01.018"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2019.2902375"},{"key":"ref15","article-title":"Geo-parcel-based Crop Classification in VHR Images via Hierarchical Perception[J]","author":"sun","year":"2019","journal-title":"International Journal of Remote Sensing"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1162\/NECO_a_00715"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1162\/tacl_a_00115"},{"key":"ref18","first-page":"473","article-title":"LSTM can solve hard long time lag problems[C]","author":"hochreiter","year":"1997","journal-title":"Advances in neural information processing systems"},{"key":"ref4","first-page":"109","article-title":"Rice yield estimation in regional scale by using radarsat snb SAR images","volume":"18","author":"yan","year":"2003","journal-title":"Advance in Earth sciences"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.3390\/rs9121298"},{"key":"ref6","first-page":"109","article-title":"Rice yield estimation in regional scale by using radarsat snb sar images [J]","volume":"18","author":"yan","year":"2003","journal-title":"Advance in Earth sciences"},{"key":"ref5","article-title":"Analysis of Time Domain Scattering Characteristics of Rice and Its Application [J]","volume":"5","author":"shao","year":"2001","journal-title":"Journal of Remote Sensing"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1080\/01431169508954580"},{"key":"ref7","article-title":"Characteristics and Analysis of Application of Envisat-ASAR Data [J]","volume":"19","author":"jin","year":"2005","journal-title":"Remote Sensing Technology and Application"},{"key":"ref2","article-title":"Crop classification recognition based on time-series images from HJ satellite [J]","volume":"29","author":"li","year":"2013","journal-title":"Transactions of the Chinese Society of Agricultural Engineering"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.compag.2018.02.016"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.1995.524142"}],"event":{"name":"2019 8th International Conference on Agro-Geoinformatics (Agro-Geoinformatics)","location":"Istanbul, Turkey","start":{"date-parts":[[2019,7,16]]},"end":{"date-parts":[[2019,7,19]]}},"container-title":["2019 8th International Conference on Agro-Geoinformatics (Agro-Geoinformatics)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8811423\/8820208\/08820218.pdf?arnumber=8820218","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,13]],"date-time":"2026-03-13T19:52:04Z","timestamp":1773431524000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8820218\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,7]]},"references-count":18,"URL":"https:\/\/doi.org\/10.1109\/agro-geoinformatics.2019.8820218","relation":{},"subject":[],"published":{"date-parts":[[2019,7]]}}}