{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,2]],"date-time":"2026-07-02T04:59:09Z","timestamp":1782968349124,"version":"3.54.5"},"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-nc-nd\/4.0\/"}],"funder":[{"name":"Foundation of National Key Laboratory of Radar Signal Processing","award":["JKW202306"],"award-info":[{"award-number":["JKW202306"]}]},{"name":"Equipment pre-research project","award":["3020506010204"],"award-info":[{"award-number":["3020506010204"]}]},{"name":"Youth Fund of the National Natural Science Foundation of China","award":["52305279"],"award-info":[{"award-number":["52305279"]}]}],"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.2025.3542738","type":"journal-article","created":{"date-parts":[[2025,2,17]],"date-time":"2025-02-17T18:34:42Z","timestamp":1739817282000},"page":"7083-7099","source":"Crossref","is-referenced-by-count":12,"title":["GANFlow: A Hybrid Model for SAR Image Target Open-Set Recognition Based on GAN and the Flow-Based Module"],"prefix":"10.1109","volume":"18","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3688-6651","authenticated-orcid":false,"given":"Jikai","family":"Qin","sequence":"first","affiliation":[{"name":"Air Force Engineering University, Xi'an, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7917-5908","authenticated-orcid":false,"given":"Jiusheng","family":"Han","sequence":"additional","affiliation":[{"name":"Guangzhou Institute of Technology, Xidian University, Guangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6526-059X","authenticated-orcid":false,"given":"Zheng","family":"Liu","sequence":"additional","affiliation":[{"name":"National Key Laboratory of Radar Signal Processing, Xidian University, Xi'an, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0687-7738","authenticated-orcid":false,"given":"Lei","family":"Ran","sequence":"additional","affiliation":[{"name":"National Key Laboratory of Radar Signal Processing, Xidian University, Xi'an, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rong","family":"Xie","sequence":"additional","affiliation":[{"name":"National Key Laboratory of Radar Signal Processing, Xidian University, Xi'an, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0314-1621","authenticated-orcid":false,"given":"Tat-Soon","family":"Yeo","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, National University of Singapore, Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2023.3267824"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2016.2551720"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2022.3199091"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.3390\/rs14061514"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3100137"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2022.3179171"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-023-10469-5"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TAES.2023.3271283"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.3390\/rs15153800"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2017.2787728"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.3390\/s17010192"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.21629\/JSEE.2017.02.09"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/s12524-013-0344-6"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1049\/iet-cvi.2013.0027"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1049\/iet-rsn.2014.0296"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/SSPD.2014.6943309"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3139669"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2019.2901050"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/RADIOELEK.2015.7129065"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.3390\/rs10091436"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2016.2553104"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2019.2904137"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2002.805552"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/s12559-019-09639-x"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2021.3100342"},{"key":"ref26","first-page":"42.1","article-title":"A unified survey on anomaly, novelty, open-set, and out-of-distribution detection: Solutions and future challenges","volume-title":"Proc. Brit. Mach. Vis. Conf.","author":"Salehi","year":"2017"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TAES.2015.150027"},{"key":"ref28","article-title":"Multi-class open set recognition for SAR imagery","volume-title":"Proc. SPIE","volume":"9844","author":"Scherreik","year":"2016"},{"key":"ref29","article-title":"Open set recognition of aircraft in aerial imagery using synthetic template models","volume-title":"Proc. SPIE","volume":"10202","author":"Bapst","year":"2017"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2891266"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2707495"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.173"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.5244\/C.31.42"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.5555\/2969033.2969125"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2021.3079418"},{"key":"ref36","first-page":"8798","article-title":"Conditional generative adversarial nets","volume-title":"Proc. IEEE Conf. Comput. Vis. Pattern Recognit.","author":"Mirza","year":"2018"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2023.3342904"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2023.3283423"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2024.3351636"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2024.3358449"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/PIERS55526.2022.9793029"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58580-8_7"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00264"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2613924"},{"key":"ref45","article-title":"Open set recognition using vision transformer with an additional detection head","author":"Cai","year":"2022"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/MGRS.2018.2853555"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2023.3261988"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2018.2884898"},{"key":"ref49","first-page":"418","article-title":"Recognizer embedding diffusion generation for few-shot SAR recognization","volume-title":"Proc. Chin. Conf. Pattern Recognit. Comput. Vis.","author":"Xu","year":"2023"},{"key":"ref50","article-title":"Nice: Non-linear independent components estimation","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Dinh","year":"2015"},{"key":"ref51","article-title":"Density estimation using real NVP","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Dinh","year":"2017"},{"key":"ref52","first-page":"10236","article-title":"Glow: Generative flow with invertible 1x1 convolutions","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Kingma","year":"2018"},{"key":"ref53","first-page":"4723","article-title":"Hybrid models with deep and invertible features","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Nalisnick","year":"2019"},{"key":"ref54","article-title":"Do deep generative models know what they don\u2019t know?","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Nalisnick","year":"2019"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2017.2755672"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.2981604"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2009.03.002"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-016-5610-8"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2017.2765202"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1016\/j.sigpro.2020.107528"}],"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\/10891547.pdf?arnumber=10891547","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,18]],"date-time":"2025-03-18T04:46:15Z","timestamp":1742273175000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10891547\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":60,"URL":"https:\/\/doi.org\/10.1109\/jstars.2025.3542738","relation":{},"ISSN":["1939-1404","2151-1535"],"issn-type":[{"value":"1939-1404","type":"print"},{"value":"2151-1535","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]}}}