{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,21]],"date-time":"2026-02-21T18:23:30Z","timestamp":1771698210781,"version":"3.50.1"},"reference-count":59,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"name":"Key Research Projects for Universities of Guangdong Provincial Education Department","award":["2020ZDZX3031"],"award-info":[{"award-number":["2020ZDZX3031"]}]},{"DOI":"10.13039\/501100021171","name":"Basic and Applied Basic Research Foundation of Guangdong Province","doi-asserted-by":"publisher","award":["2019A1515010716"],"award-info":[{"award-number":["2019A1515010716"]}],"id":[{"id":"10.13039\/501100021171","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100021171","name":"Basic and Applied Basic Research Foundation of Guangdong Province","doi-asserted-by":"publisher","award":["2021A1515011576"],"award-info":[{"award-number":["2021A1515011576"]}],"id":[{"id":"10.13039\/501100021171","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100021171","name":"Basic and Applied Basic Research Foundation of Guangdong Province","doi-asserted-by":"publisher","award":["2017KCXTD015"],"award-info":[{"award-number":["2017KCXTD015"]}],"id":[{"id":"10.13039\/501100021171","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Guangdong, Hong Kong, Macao"},{"name":"Greater Bay Area International Science and Technology Innovation Cooperation Project","award":["2021A050530080"],"award-info":[{"award-number":["2021A050530080"]}]},{"name":"Greater Bay Area International Science and Technology Innovation Cooperation Project","award":["2021A0505060011"],"award-info":[{"award-number":["2021A0505060011"]}]},{"name":"Jiangmen City Basic and Applied Basic Research Foundation","award":["2021030103230006 670"],"award-info":[{"award-number":["2021030103230006 670"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing"],"published-print":{"date-parts":[[2023]]},"DOI":"10.1109\/jstars.2023.3267824","type":"journal-article","created":{"date-parts":[[2023,4,17]],"date-time":"2023-04-17T18:00:39Z","timestamp":1681754439000},"page":"3915-3928","source":"Crossref","is-referenced-by-count":16,"title":["Dual Consistency Alignment Based Self-Supervised Learning for SAR Target Recognition With Speckle Noise Resistance"],"prefix":"10.1109","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0154-9743","authenticated-orcid":false,"given":"Yikui","family":"Zhai","sequence":"first","affiliation":[{"name":"Department of Intelligent Manufacturing, Wuyi University, Jiangmen, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2093-7701","authenticated-orcid":false,"given":"Jinrui","family":"Liao","sequence":"additional","affiliation":[{"name":"Department of Intelligent Manufacturing, Wuyi University, Jiangmen, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5520-2406","authenticated-orcid":false,"given":"Bing","family":"Sun","sequence":"additional","affiliation":[{"name":"School of Electronics and Information Engineering, Beihang University, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6621-7753","authenticated-orcid":false,"given":"Ziyi","family":"Jiang","sequence":"additional","affiliation":[{"name":"Department of Intelligent Manufacturing, Wuyi University, Jiangmen, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3074-5586","authenticated-orcid":false,"given":"Zilu","family":"Ying","sequence":"additional","affiliation":[{"name":"Department of Intelligent Manufacturing, Wuyi University, Jiangmen, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1185-4867","authenticated-orcid":false,"given":"Wenqi","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Intelligent Manufacturing, Wuyi University, Jiangmen, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3683-4723","authenticated-orcid":false,"given":"Angelo","family":"Genovese","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Dipartimento di Informatica, Università Degli Studi di Milano, Milano, Italy"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3178-8198","authenticated-orcid":false,"given":"Vincenzo","family":"Piuri","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Dipartimento di Informatica, Università Degli Studi di Milano, Milano, Italy"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4277-3701","authenticated-orcid":false,"given":"Fabio","family":"Scotti","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Dipartimento di Informatica, Università Degli Studi di Milano, Milano, Italy"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2018.2865608"},{"key":"ref57","article-title":"SAR image classification using contrastive learning and pseudo-labels with limited data","volume":"19","author":"wang","year":"2022","journal-title":"IEEE Geosci Remote Sens Lett"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2018.2877599"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3104179"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2017.2776357"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.74"},{"key":"ref14","article-title":"Multilevel wavelet-srnet for SAR target recognition","volume":"19","author":"qin","year":"2021","journal-title":"IEEE Geosci Remote Sens Lett"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.3390\/rs14184632"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.2015.7326637"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2020.2973920"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2015.2513754"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.3390\/rs12091385"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.2018.8519431"},{"key":"ref54","first-page":"2579","article-title":"Visualizing data using t-SNE","volume":"9","author":"van der maaten","year":"2008","journal-title":"Mach Learn Res"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2020.3039235"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3100137"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2021.3104267"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2021.3059991"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2019.2907655"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2022.3162641"},{"key":"ref46","first-page":"5997","article-title":"Improving contrastive learning on imbalanced data via open-world sampling","author":"jiang","year":"2021","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3192256"},{"key":"ref48","article-title":"Vision models are more robust and fair when pretrained on uncurated images without supervision","author":"goyal","year":"2022"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01617"},{"key":"ref42","first-page":"21271","article-title":"Bootstrap your own latent—A new approach to self-supervised learning","author":"grill","year":"2020","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i1.19972"},{"key":"ref44","first-page":"9912","article-title":"Unsupervised learning of visual features by contrasting cluster assignments","author":"caron","year":"2020","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01549"},{"key":"ref49","first-page":"1","article-title":"Is self-supervised contrastive learning more robust than supervised learning?","author":"zhong","year":"2022","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3076446"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2020.107787"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.2017.8128201"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/s41651-019-0042-1"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2021.3132020"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2021.3050108"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2021.3104726"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00975"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00674"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00203"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2006.100"},{"key":"ref36","first-page":"1","article-title":"Unsupervised representation learning by predicting image rotations","author":"gidaris","year":"2018","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2020.3036602"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3057768"},{"key":"ref33","first-page":"69","article-title":"Unsupervised learning of visual representations by solving jigsaw puzzles","author":"noroozi","year":"2016","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46487-9_40"},{"key":"ref2","article-title":"EFTL: Complex convolutional networks with electromagnetic feature transfer learning for SAR target recognition","volume":"60","author":"liu","year":"2022","journal-title":"IEEE Trans Geosci Remote Sens"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2016.2551720"},{"key":"ref39","first-page":"1597","article-title":"A simple frame-work for contrastive learning of visual representations","author":"chen","year":"2020","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00393"},{"key":"ref24","first-page":"1","article-title":"Using self-supervised learning can improve model robustness and uncertainty","author":"hendrycks","year":"2019","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2020.3038683"},{"key":"ref26","first-page":"4003","article-title":"Self-supervised relational reasoning for representation learning","author":"patacchiola","year":"2020","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00113"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2017.2698213"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2020.3044643"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2022.3155406"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2021.3090418"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2021.3056883"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2021.3063335"}],"container-title":["IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/4609443\/9973430\/10103576.pdf?arnumber=10103576","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,5,22]],"date-time":"2023-05-22T17:54:00Z","timestamp":1684778040000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10103576\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":59,"URL":"https:\/\/doi.org\/10.1109\/jstars.2023.3267824","relation":{},"ISSN":["1939-1404","2151-1535"],"issn-type":[{"value":"1939-1404","type":"print"},{"value":"2151-1535","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]}}}