{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,18]],"date-time":"2026-07-18T16:32:27Z","timestamp":1784392347677,"version":"3.55.0"},"reference-count":23,"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:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["41875049"],"award-info":[{"award-number":["41875049"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2018YFC1507504-6"],"award-info":[{"award-number":["2018YFC1507504-6"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Geosci. Remote Sensing"],"published-print":{"date-parts":[[2022]]},"DOI":"10.1109\/tgrs.2021.3056470","type":"journal-article","created":{"date-parts":[[2021,2,16]],"date-time":"2021-02-16T13:39:56Z","timestamp":1613482796000},"page":"1-9","source":"Crossref","is-referenced-by-count":40,"title":["Advancing Radar Nowcasting Through Deep Transfer Learning"],"prefix":"10.1109","volume":"60","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6141-4595","authenticated-orcid":false,"given":"Lei","family":"Han","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1721-270X","authenticated-orcid":false,"given":"Yangyang","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9795-3064","authenticated-orcid":false,"given":"Haonan","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"V.","family":"Chandrasekar","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1175\/1520-0426(1993)010<0785:TTITAA>2.0.CO;2"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1175\/1520-0434(2003)018<0545:NAS>2.0.CO;2"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1175\/2008JTECHA1084.1"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1175\/BAMS-D-11-00263.1"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1175\/BAMS-D-16-0123.1"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1038\/s41586-019-0912-1"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1029\/2019GL084771"},{"key":"ref8","first-page":"802","article-title":"Convolutional LSTM network: A machine learning approach for precipitation nowcasting","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Shi"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2948070"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2009.191"},{"key":"ref11","first-page":"3320","article-title":"How transferable are features in deep neural networks?","volume-title":"Proc. Adv. Neural Inf. Process. Syst. (NIPS)","author":"Yosinski"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2014.2347059"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.316"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2018.05.083"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.5194\/hess-23-4153-2019"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.3390\/rs11121479"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/3065386"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1038\/Nature14539"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/1102351.1102363"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btl242"},{"key":"ref21","article-title":"Deep domain confusion: Maximizing for domain invariance","volume-title":"arXiv:1412.3474","author":"Tzeng","year":"2014"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1175\/MWR3062.1"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1175\/2011JTECHA1496.1"}],"container-title":["IEEE Transactions on Geoscience and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/36\/9633014\/09354430.pdf?arnumber=9354430","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,9]],"date-time":"2024-01-09T23:28:19Z","timestamp":1704842899000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9354430\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":23,"URL":"https:\/\/doi.org\/10.1109\/tgrs.2021.3056470","relation":{},"ISSN":["0196-2892","1558-0644"],"issn-type":[{"value":"0196-2892","type":"print"},{"value":"1558-0644","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]}}}