{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,10]],"date-time":"2026-03-10T14:44:06Z","timestamp":1773153846572,"version":"3.50.1"},"reference-count":81,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2025,4,1]],"date-time":"2025-04-01T00:00:00Z","timestamp":1743465600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,4,1]],"date-time":"2025-04-01T00:00:00Z","timestamp":1743465600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,4,1]],"date-time":"2025-04-01T00:00:00Z","timestamp":1743465600000},"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":["U21B2006"],"award-info":[{"award-number":["U21B2006"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Shaanxi Youth Innovation Team Project"},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["QTZX23037"],"award-info":[{"award-number":["QTZX23037"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["QTZX22160"],"award-info":[{"award-number":["QTZX22160"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100013314","name":"Higher Education Discipline Innovation Project","doi-asserted-by":"publisher","award":["B18039"],"award-info":[{"award-number":["B18039"]}],"id":[{"id":"10.13039\/501100013314","id-type":"DOI","asserted-by":"publisher"}]},{"name":"stabilization support of National Radar Signal Processing Laboratory","award":["JKW202X0X"],"award-info":[{"award-number":["JKW202X0X"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["6220010437"],"award-info":[{"award-number":["6220010437"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Aerosp. Electron. Syst."],"published-print":{"date-parts":[[2025,4]]},"DOI":"10.1109\/taes.2024.3516704","type":"journal-article","created":{"date-parts":[[2024,12,12]],"date-time":"2024-12-12T19:29:51Z","timestamp":1734031791000},"page":"5088-5103","source":"Crossref","is-referenced-by-count":3,"title":["AOT: Aggregation Optimal Transport for Few-Shot SAR Automatic Target Recognition"],"prefix":"10.1109","volume":"61","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5935-0684","authenticated-orcid":false,"given":"Yuxin","family":"Li","sequence":"first","affiliation":[{"name":"National Key Laboratory of Radar Signal Processing, Xidian University, Xi'an, China"}]},{"given":"Wenchao","family":"Chen","sequence":"additional","affiliation":[{"name":"National Key Laboratory of Radar Signal Processing, Xidian University, Xi'an, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-2603-4670","authenticated-orcid":false,"given":"Xinyue","family":"Hu","sequence":"additional","affiliation":[{"name":"National Key Laboratory of Radar Signal Processing, Xidian University, Xi'an, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5151-9388","authenticated-orcid":false,"given":"Bo","family":"Chen","sequence":"additional","affiliation":[{"name":"National Key Laboratory of Radar Signal Processing, Xidian University, Xi'an, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3380-5337","authenticated-orcid":false,"given":"Dongsheng","family":"Wang","sequence":"additional","affiliation":[{"name":"National Key Laboratory of Radar Signal Processing, Xidian University, Xi'an, China"}]},{"given":"Chunhui","family":"Qu","sequence":"additional","affiliation":[{"name":"National Key Laboratory of Radar Signal Processing, Xidian University, Xi'an, China"}]},{"given":"Fei","family":"Meng","sequence":"additional","affiliation":[{"name":"Beijing Institute of Radio Measurement, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9659-5608","authenticated-orcid":false,"given":"Penghui","family":"Wang","sequence":"additional","affiliation":[{"name":"National Key Laboratory of Radar Signal Processing, Xidian University, Xi'an, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4046-163X","authenticated-orcid":false,"given":"Hongwei","family":"Liu","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\/36.921412"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2016.2514494"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2014.2377293"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/MGRS.2013.2248301"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2017.2702621"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/RADAR.2015.7131114"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.2014.6947584"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3051024"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2016.2551720"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3100137"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3058249"},{"issue":"2","key":"ref12","first-page":"187","article-title":"The automatic target-recognition system in SAIP","volume":"10","author":"Novak","year":"1997","journal-title":"Lincoln Lab. J."},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1117\/12.357648"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1117\/12.242040"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1117\/12.357681"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/RADAR.2000.851947"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1117\/12.321851"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2015.7301382"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1117\/12.2618659"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2010.05.033"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.1967.1053964"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/7.937475"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.5555\/3298023.3298188"},{"key":"ref24","first-page":"1","article-title":"Attention-based interpretability with concept transformers","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Rigotti","year":"2021"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2833156"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2020.3039646"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS47720.2021.9555039"},{"key":"ref28","article-title":"Improving neural networks by preventing co-adaptation of feature detectors","author":"Hinton","year":"2012"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3116349"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3121397"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2020.106449"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2947634"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2017.2717486"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.2016.7729290"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/PIERS-FALL.2017.8293227"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3124336"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CRV52889.2021.00011"},{"key":"ref38","article-title":"A closer look at few-shot classification","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Chen","year":"2019"},{"key":"ref39","first-page":"1126","article-title":"Model-agnostic meta-learning for fast adaptation of deep networks","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Finn","year":"2017"},{"key":"ref40","first-page":"1","article-title":"Siamese neural networks for one-shot image recognition","volume-title":"Proc. ICML Deep Learning Workshop","volume":"2","author":"Koch","year":"2015"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2023.3312125"},{"key":"ref42","article-title":"Rapid learning or feature reuse? Towards understanding the effectiveness of MAML","author":"Raghu","year":"2019"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01222"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2021.3126688"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2021.3069224"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3166174"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.3390\/rs14081884"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1137\/1118101"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2021.04.124"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1117\/12.321859"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2019.2954850"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2017.2755672"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2009.191"},{"key":"ref54","article-title":"Meta-learning with differentiable closed-form solvers","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Bertinetto","year":"2019"},{"key":"ref55","article-title":"The self-optimal-transport feature transform","author":"Shalam","year":"2022"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-86340-1_39"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2022.1000716"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.5555\/3294996.3295163"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33018642"},{"key":"ref60","first-page":"1","article-title":"A multiresolution speckle reduction algorithm with application to SAR images","volume-title":"Proc. 8th Eur. Signal Process. Conf.","author":"Caldi","year":"1996"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01091"},{"key":"ref62","first-page":"1","article-title":"Generalized cross entropy loss for training deep neural networks with noisy labels","volume":"31","author":"Zhang","year":"2018","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1561\/2200000073"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1145\/261342.571216"},{"key":"ref65","first-page":"1","article-title":"Sinkhorn distances: Lightspeed computation of optimal transport","volume":"26","author":"Cuturi","year":"2013","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"ref66","first-page":"6996","article-title":"Adaptive distribution calibration for few-shot learning with hierarchical optimal transport","volume-title":"Proc Adv. Neural inf. Process. Syst.","volume":"35","author":"Guo","year":"2022"},{"key":"ref67","article-title":"Self-supervised knowledge distillation for few-shot learning","volume-title":"Proc. 32nd Brit. Mach. Vis. Conf.","author":"Rajasegaran","year":"2021"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58568-6_16"},{"key":"ref69","first-page":"1","article-title":"Versa: Versatile and efficient few-shot learning","volume-title":"Proc. 3rd Workshop Bayesian Deep Learn.","author":"Gordon","year":"2018"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00049"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00743"},{"key":"ref72","first-page":"1","article-title":"Cross attention network for few-shot classification","volume":"32","author":"Hou","year":"2019","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00131"},{"key":"ref74","first-page":"1","article-title":"Pytorch: An imperative style, high-performance deep learning library","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"32","author":"Paszke","year":"2019"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.1017\/cbo9781139192903.016"},{"issue":"11","key":"ref76","first-page":"2579","article-title":"Visualizing data using t-SNE","volume":"9","author":"Maaten","year":"2008","journal-title":"J. Mach. Learn. Res."},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2907728"},{"key":"ref78","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2023.3312125"},{"key":"ref79","doi-asserted-by":"publisher","DOI":"10.1049\/rsn2.12516"},{"key":"ref80","doi-asserted-by":"publisher","DOI":"10.1201\/9780203737484"},{"key":"ref81","doi-asserted-by":"publisher","DOI":"10.1364\/JOSA.66.001145"}],"container-title":["IEEE Transactions on Aerospace and Electronic Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/7\/10963970\/10797691.pdf?arnumber=10797691","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,14]],"date-time":"2025-04-14T17:43:25Z","timestamp":1744652605000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10797691\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,4]]},"references-count":81,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/taes.2024.3516704","relation":{},"ISSN":["0018-9251","1557-9603","2371-9877"],"issn-type":[{"value":"0018-9251","type":"print"},{"value":"1557-9603","type":"electronic"},{"value":"2371-9877","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,4]]}}}