{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,24]],"date-time":"2026-01-24T18:06:50Z","timestamp":1769278010585,"version":"3.49.0"},"reference-count":58,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Key Scientific Technological Innovation Research Project by the Ministry of Education"},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62171347"],"award-info":[{"award-number":["62171347"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61877066"],"award-info":[{"award-number":["61877066"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61771379"],"award-info":[{"award-number":["61771379"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62001355"],"award-info":[{"award-number":["62001355"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62101405"],"award-info":[{"award-number":["62101405"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"Foundation for Innovative Research Groups of the National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61621005"],"award-info":[{"award-number":["61621005"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100015401","name":"Key Research and Development Program in Shaanxi Province of China","doi-asserted-by":"publisher","award":["2019ZDLGY03-05"],"award-info":[{"award-number":["2019ZDLGY03-05"]}],"id":[{"id":"10.13039\/501100015401","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100015401","name":"Key Research and Development Program in Shaanxi Province of China","doi-asserted-by":"publisher","award":["2021ZDLGY02-08"],"award-info":[{"award-number":["2021ZDLGY02-08"]}],"id":[{"id":"10.13039\/501100015401","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Science and Technology Program in Xi\u2019an of China","award":["XA2020-RGZNTJ-0021"],"award-info":[{"award-number":["XA2020-RGZNTJ-0021"]}]},{"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":[[2022]]},"DOI":"10.1109\/tgrs.2022.3142017","type":"journal-article","created":{"date-parts":[[2022,1,11]],"date-time":"2022-01-11T20:33:28Z","timestamp":1641933208000},"page":"1-16","source":"Crossref","is-referenced-by-count":16,"title":["A Neural Network Based on Consistency Learning and Adversarial Learning for Semisupervised Synthetic Aperture Radar Ship Detection"],"prefix":"10.1109","volume":"60","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1996-186X","authenticated-orcid":false,"given":"Biao","family":"Hou","sequence":"first","affiliation":[{"name":"Key Laboratory of Intelligent Perception and Image Understanding, Ministry of Education of China, and the Joint International Research Laboratory of Intelligent Perception and Computation, Xidian University, Xi&#x2019;an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0449-9465","authenticated-orcid":false,"given":"Zitong","family":"Wu","sequence":"additional","affiliation":[{"name":"Key Laboratory of Intelligent Perception and Image Understanding, Ministry of Education of China, and the Joint International Research Laboratory of Intelligent Perception and Computation, Xidian University, Xi&#x2019;an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0481-5069","authenticated-orcid":false,"given":"Bo","family":"Ren","sequence":"additional","affiliation":[{"name":"Key Laboratory of Intelligent Perception and Image Understanding, Ministry of Education of China, and the Joint International Research Laboratory of Intelligent Perception and Computation, Xidian University, Xi&#x2019;an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhonghua","family":"Li","sequence":"additional","affiliation":[{"name":"Key Laboratory of Intelligent Perception and Image Understanding, Ministry of Education of China, and the Joint International Research Laboratory of Intelligent Perception and Computation, Xidian University, Xi&#x2019;an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3733-2570","authenticated-orcid":false,"given":"Xianpeng","family":"Guo","sequence":"additional","affiliation":[{"name":"Key Laboratory of Intelligent Perception and Image Understanding, Ministry of Education of China, and the Joint International Research Laboratory of Intelligent Perception and Computation, Xidian University, Xi&#x2019;an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4940-1211","authenticated-orcid":false,"given":"Shuang","family":"Wang","sequence":"additional","affiliation":[{"name":"Key Laboratory of Intelligent Perception and Image Understanding, Ministry of Education of China, and the Joint International Research Laboratory of Intelligent Perception and Computation, Xidian University, Xi&#x2019;an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3354-9617","authenticated-orcid":false,"given":"Licheng","family":"Jiao","sequence":"additional","affiliation":[{"name":"Key Laboratory of Intelligent Perception and Image Understanding, Ministry of Education of China, and the Joint International Research Laboratory of Intelligent Perception and Computation, Xidian University, Xi&#x2019;an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.3004911"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2848243"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2015.2425873"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.3390\/rs13132582"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2014.2309695"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2018.2822999"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2018.2851023"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2017.2769808"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2906054"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2015.2412174"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2014.2362955"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2012.2189011"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2877821"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/APSAR46974.2019.9048310"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2005.845033"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.91"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.l007\/978-3-319-46448-0_2"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.81"},{"key":"ref19","article-title":"Proposal learning for semi-supervised object detection","author":"Tang","year":"2020","journal-title":"arXiv:2001.05086"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2577031"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2004.843190"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.3390\/rs70607695"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2010.2048697"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2003.817809"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2004.827462"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.2011.6049731"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2016.2571309"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2017.2703862"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2008.2005255"},{"key":"ref30","first-page":"1556","article-title":"Very deep convolutional networks for large-scale image recognition","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Simonyan"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.690"},{"key":"ref35","first-page":"4051","article-title":"YOLOv3: An incremental improvement","volume-title":"Proc. IEEE Conf. Comput. Vis. Pattern Recognit. (CVPR)","author":"Farhadi"},{"key":"ref36","article-title":"YOLOv4: Optimal speed and accuracy of object detection","author":"Bochkovskiy","year":"2020","journal-title":"arXiv:2004.10934"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33019259"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00442"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.169"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58452-8_13"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00960"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.233"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00144"},{"key":"ref44","first-page":"10759","article-title":"Consistency-based semi-supervised learning for object detection","volume-title":"Proc. Conf. Neural Inf. Process. Syst. (NeurIPS)","author":"Jeong"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2943241"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2018.2882551"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2889353"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2942103"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2951030"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2923988"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.2997200"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.322"},{"key":"ref53","first-page":"10750","article-title":"DropBlock: A regularization method for convolutional networks","volume-title":"Proc. Conf. Neural Inf. Process. Syst. (NeurIPS)","author":"Ghiasi"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.3390\/rs11070765"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3005861"},{"key":"ref56","first-page":"712","article-title":"Unbiased teacher for semi-supervised object detection","volume-title":"Proc. Int. Conf. Learn. Represent. (ICLR)","author":"Liu"},{"key":"ref57","article-title":"A simple semi-supervised learning framework for object detection","author":"Sohn","year":"2020","journal-title":"arXiv:2005.04757"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58529-7_18"}],"container-title":["IEEE Transactions on Geoscience and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/36\/9633014\/09676648.pdf?arnumber=9676648","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,13]],"date-time":"2024-01-13T22:23:52Z","timestamp":1705184632000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9676648\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":58,"URL":"https:\/\/doi.org\/10.1109\/tgrs.2022.3142017","relation":{},"ISSN":["0196-2892","1558-0644"],"issn-type":[{"value":"0196-2892","type":"print"},{"value":"1558-0644","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]}}}