{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,11]],"date-time":"2026-04-11T06:36:03Z","timestamp":1775889363913,"version":"3.50.1"},"reference-count":55,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Science Foundation of China","doi-asserted-by":"publisher","award":["U21B2039"],"award-info":[{"award-number":["U21B2039"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Science Foundation of China","doi-asserted-by":"publisher","award":["62201431"],"award-info":[{"award-number":["62201431"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100013314","name":"Higher Education Discipline Innovation Project","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100013314","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Geosci. Remote Sensing"],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/tgrs.2024.3458937","type":"journal-article","created":{"date-parts":[[2024,9,12]],"date-time":"2024-09-12T17:53:29Z","timestamp":1726163609000},"page":"1-17","source":"Crossref","is-referenced-by-count":12,"title":["Unsupervised Domain Adaptation for Ship Classification via Progressive Feature Alignment: From Optical to SAR Images"],"prefix":"10.1109","volume":"62","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5081-231X","authenticated-orcid":false,"given":"Yu","family":"Shi","sequence":"first","affiliation":[{"name":"National Key Laboratory of Radar Signal Processing, Xidian University, Xi&#x2019;an, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4503-0022","authenticated-orcid":false,"given":"Lan","family":"Du","sequence":"additional","affiliation":[{"name":"National Key Laboratory of Radar Signal Processing, Xidian University, Xi&#x2019;an, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3424-7231","authenticated-orcid":false,"given":"Yuchen","family":"Guo","sequence":"additional","affiliation":[{"name":"Academy of Advanced Interdisciplinary Research, Xidian University, Xi&#x2019;an, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6525-7056","authenticated-orcid":false,"given":"Yuang","family":"Du","sequence":"additional","affiliation":[{"name":"National Key Laboratory of Radar Signal Processing, Xidian University, Xi&#x2019;an, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-5948-0442","authenticated-orcid":false,"given":"Yiming","family":"Li","sequence":"additional","affiliation":[{"name":"National Key Laboratory of Radar Signal Processing, Xidian University, Xi&#x2019;an, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2010.2071879"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/JOE.2017.2767106"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1080\/01431161.2018.1562586"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2020.3016692"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.3009284"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3082759"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3106915"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2024.3372021"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2023.3297648"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2023.3259971"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2023.3332137"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/MGRS.2020.3046356"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3185298"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2009.191"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.2988928"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01636"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00234"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00503"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00532"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00875"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2947634"},{"key":"ref22","first-page":"97","article-title":"Learning transferable features with deep adaptation networks","volume-title":"Proc. 32nd Int. Conf. Mach. Learn.","volume":"37","author":"Long"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.2964679"},{"issue":"1","key":"ref24","first-page":"168","article-title":"Simulation-assisted SAR target classification based on unsupervised domain adaptation and model interpretability analysis","volume":"11","author":"Lyu","year":"2022","journal-title":"J. Radars"},{"key":"ref25","first-page":"1180","article-title":"Unsupervised domain adaptation by backpropagation","volume-title":"Proc. 32nd Int. Conf. Mach. Learn. (ICML)","volume":"2","author":"Ganin"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2022.3214750"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.244"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.3390\/rs11111374"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3178703"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2948618"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.3390\/rs15020469"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.3390\/rs9090907"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2023.11.010"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.3390\/rs13214202"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.3390\/rs14010143"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2023.3317321"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1145\/3422622"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2023.3300536"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1117\/12.2684516"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.3390\/rs16020420"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2023.3313204"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01553"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.7551\/mitpress\/7503.003.0022"},{"key":"ref44","first-page":"3833","article-title":"Rethinking pre-training and self-training","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"33","author":"Zoph"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19827-4_37"},{"key":"ref46","first-page":"596","article-title":"FixMatch: Simplifying semi-supervised learning with consistency and confidence","volume-title":"Proc. Adv. Neural Inf. Process. Syst. (NIPS)","author":"Sohn"},{"key":"ref47","first-page":"1","article-title":"MixMatch: A holistic approach to semi-supervised learning","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"32","author":"Berthelot"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2022.3228380"},{"key":"ref49","article-title":"In defense of pseudo-labeling: An uncertainty-aware pseudo-label selection framework for semi-supervised learning","author":"Rizve","year":"2021","journal-title":"arXiv:2101.06329"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-009-5152-4"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2021.12.004"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.3390\/rs13040747"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-69538-5_17"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1007\/s11432-019-2772-5"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"}],"container-title":["IEEE Transactions on Geoscience and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/36\/10354519\/10679175.pdf?arnumber=10679175","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,27]],"date-time":"2024-09-27T18:36:53Z","timestamp":1727462213000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10679175\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":55,"URL":"https:\/\/doi.org\/10.1109\/tgrs.2024.3458937","relation":{},"ISSN":["0196-2892","1558-0644"],"issn-type":[{"value":"0196-2892","type":"print"},{"value":"1558-0644","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]}}}