{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,24]],"date-time":"2026-02-24T14:53:41Z","timestamp":1771944821420,"version":"3.50.1"},"reference-count":45,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"name":"Zhejiang Provincial Natural Science Foundation of China","award":["LR21D060002"],"award-info":[{"award-number":["LR21D060002"]}]},{"name":"Key Research and Development Project of Shandong Province","award":["2019JZZY010102"],"award-info":[{"award-number":["2019JZZY010102"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62273077"],"award-info":[{"award-number":["62273077"]}],"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":[[2023]]},"DOI":"10.1109\/jstars.2023.3316731","type":"journal-article","created":{"date-parts":[[2023,9,19]],"date-time":"2023-09-19T18:07:35Z","timestamp":1695146855000},"page":"9396-9405","source":"Crossref","is-referenced-by-count":7,"title":["Robust Prediction of Sea Surface Temperature Based on SSPGAN"],"prefix":"10.1109","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-4328-0475","authenticated-orcid":false,"given":"Xiaofang","family":"Yao","sequence":"first","affiliation":[{"name":"School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8507-7880","authenticated-orcid":false,"given":"Gang","family":"Zheng","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5895-0805","authenticated-orcid":false,"given":"Jiali","family":"Yu","sequence":"additional","affiliation":[{"name":"School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2508-7451","authenticated-orcid":false,"given":"Jinliang","family":"Shao","sequence":"additional","affiliation":[{"name":"School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-9416-738X","authenticated-orcid":false,"given":"Jialu","family":"Zuo","sequence":"additional","affiliation":[{"name":"School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2017.2780843"},{"key":"ref35","article-title":"Explaining and harnessing adversarial examples","author":"goodfellow","year":"0","journal-title":"Proc 3rd Int Conf Learn Representations"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2907310"},{"key":"ref34","article-title":"Intriguing properties of neural networks","author":"szegedy","year":"0","journal-title":"Proc 2nd Int Conf Learn Representations"},{"key":"ref15","article-title":"Ocean temperature prediction based on stereo spatial and temporal 4-D convolution model","volume":"19","author":"zuo","year":"2021","journal-title":"IEEE Geosci Remote Sens Lett"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/EuroSP.2016.36"},{"key":"ref14","article-title":"An evolving sea surface temperature predicting method based on multidimensional spatiotemporal influences","volume":"19","author":"xie","year":"2021","journal-title":"IEEE Geosci Remote Sens Lett"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.282"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2019.2947170"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2019.2931728"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2904659"},{"key":"ref33","first-page":"1","article-title":"Generative adversarial nets","volume":"27","author":"goodfellow","year":"2014","journal-title":"Adv Neural Inf Process Syst"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.3039046"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1126\/sciadv.aba1482"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1175\/JCLI-D-18-0016.1"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1038\/ngeo2687"},{"key":"ref17","article-title":"Sea surface temperature prediction with memory graph convolutional networks","volume":"19","author":"zhang","year":"2021","journal-title":"IEEE Geosci Remote Sens Lett"},{"key":"ref39","first-page":"214","article-title":"Wasserstein generative adversarial networks","author":"arjovsky","year":"0","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref16","article-title":"Sea surface temperature forecasting with ensemble of stacked deep neural networks","volume":"19","author":"jahanbakht","year":"2021","journal-title":"IEEE Geosci Remote Sens Lett"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1007\/s10236-003-0036-9"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.3390\/rs10060850"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2014.2366294"},{"key":"ref24","article-title":"A deep learning network to retrieve ocean hydrographic profiles from combined satellite and in situ measurements","volume":"12","author":"nardelli","year":"2020","journal-title":"Remote Sens"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2019.2950687"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1088\/1361-6420\/aa9a90"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.3390\/rs12172697"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2909057"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1029\/2019JC015172"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1090\/S0025-5718-98-00913-2"},{"key":"ref41","article-title":"Towards principled methods for training generative adversarial networks","volume":"1050","author":"arjovsky","year":"0","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1175\/MWR-D-19-0372.1"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58545-7_24"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1029\/2019JC015421"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1016\/0021-9991(88)90177-5"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.3390\/rs11070783"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2017.2733548"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2019.111358"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1080\/01431161.2012.716536"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.2999943"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.3390\/rs10101572"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.ecss.2017.08.022"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1093\/icesjms\/fsy017"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2018.2794888"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2019.2926992"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-71050-9"}],"container-title":["IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/4609443\/9973430\/10255116.pdf?arnumber=10255116","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,7]],"date-time":"2024-02-07T05:01:50Z","timestamp":1707282110000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10255116\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":45,"URL":"https:\/\/doi.org\/10.1109\/jstars.2023.3316731","relation":{},"ISSN":["1939-1404","2151-1535"],"issn-type":[{"value":"1939-1404","type":"print"},{"value":"2151-1535","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]}}}