{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,28]],"date-time":"2026-01-28T21:59:45Z","timestamp":1769637585519,"version":"3.49.0"},"reference-count":60,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"name":"National Science Foundations of China","award":["62201431"],"award-info":[{"award-number":["62201431"]}]},{"name":"National Science Foundations of China","award":["U21B2039"],"award-info":[{"award-number":["U21B2039"]}]},{"name":"National Science Foundations of China","award":["U24B20137"],"award-info":[{"award-number":["U24B20137"]}]},{"name":"National Science Foundations of China","award":["62201433"],"award-info":[{"award-number":["62201433"]}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["QTZX23067"],"award-info":[{"award-number":["QTZX23067"]}],"id":[{"id":"10.13039\/501100012226","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":[[2025]]},"DOI":"10.1109\/jstars.2025.3615206","type":"journal-article","created":{"date-parts":[[2025,9,29]],"date-time":"2025-09-29T17:53:54Z","timestamp":1759168434000},"page":"25276-25290","source":"Crossref","is-referenced-by-count":2,"title":["Open-Set Domain Adaptation via Adaptive Separation and Two-Level Alignment With Application in SAR Target Recognition"],"prefix":"10.1109","volume":"18","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3424-7231","authenticated-orcid":false,"given":"Yuchen","family":"Guo","sequence":"first","affiliation":[{"name":"Academy of Advanced Interdisciplinary Research, Xidian University, Xi’an, China"}]},{"given":"Bin","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Electronic Engineering, Xidian University, Xi’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’an, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1484-6122","authenticated-orcid":false,"given":"Jian","family":"Chen","sequence":"additional","affiliation":[{"name":"National Key Laboratory of Radar Signal Processing, Xidian University, Xi’an, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2024.3459869"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2022.3225882"},{"key":"ref3","first-page":"1180","article-title":"Unsupervised domain adaptation by backpropagation","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Ganin","year":"2015"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2947634"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.2964679"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2022.3214750"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00283"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-71704-9_65"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2018.05.083"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2020.3039235"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2021.3089238"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2022.3175200"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2022.3220875"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.88"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01228-1_10"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00304"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58517-4_25"},{"key":"ref18","first-page":"6468","article-title":"Progressive graph learning for open-set domain adaptation","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Luo","year":"2020"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TAI.2024.3379940"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.02309"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2024.3360006"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2024.3396883"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.6091"},{"key":"ref24","first-page":"21969","article-title":"Attribute prototype network for zero-shot learning","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"33","author":"Xu","year":"2020"},{"key":"ref25","first-page":"1476","article-title":"Hyperspherical prototype networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"32","author":"Mettes","year":"2019"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58545-7_9"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.3045079"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-022-01613-9"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.47"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.5555\/3294996.3295163"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01517"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2024.121372"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2024.112726"},{"key":"ref34","first-page":"2936","article-title":"Dual progressive prototype network for generalized zero-shot learning","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"34","author":"Wang","year":"2021"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2021.107935"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2814042"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-49409-8_35"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00503"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.293"},{"key":"ref40","first-page":"2551","article-title":"Learning to discover cross-domain relations with generative adversarial networks","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Kim","year":"2017"},{"key":"ref41","first-page":"469","article-title":"Coupled generative adversarial networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Liu","year":"2016"},{"issue":"59","key":"ref42","first-page":"1","article-title":"Domain-adversarial training of neural network","volume":"17","author":"Ganin","year":"2016","journal-title":"J. Mach. Learn. Res."},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00072"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-016-0944-x"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2024.3409573"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2023.121498"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2023.3266576"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11767"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.6054"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00888"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1145\/3422622"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1117\/12.2523460"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2025.3561401"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2024.3370978"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2024.120223"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2025.3568212"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/TRS.2025.3580543"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2024.3353453"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2021.3079418"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2023.3283423"}],"container-title":["IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/4609443\/10766875\/11183838.pdf?arnumber=11183838","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,15]],"date-time":"2025-10-15T05:35:06Z","timestamp":1760506506000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11183838\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":60,"URL":"https:\/\/doi.org\/10.1109\/jstars.2025.3615206","relation":{},"ISSN":["1939-1404","2151-1535"],"issn-type":[{"value":"1939-1404","type":"print"},{"value":"2151-1535","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]}}}