{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,20]],"date-time":"2026-03-20T15:36:31Z","timestamp":1774020991330,"version":"3.50.1"},"reference-count":42,"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:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"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":["62071491"],"award-info":[{"award-number":["62071491"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"Joint Funds of the National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U1906217"],"award-info":[{"award-number":["U1906217"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Shandong Provincial Natural Science Foundation, China","award":["ZR2020MF006"],"award-info":[{"award-number":["ZR2020MF006"]}]},{"name":"Shandong Provincial Natural Science Foundation, China","award":["ZR2020MF140"],"award-info":[{"award-number":["ZR2020MF140"]}]},{"name":"Industry-University Research Innovation Foundation of Ministry of Education of China","award":["2021FNA01001"],"award-info":[{"award-number":["2021FNA01001"]}]},{"name":"Major Scientific and Technological Projects of CNPC","award":["ZD2019-183-006"],"award-info":[{"award-number":["ZD2019-183-006"]}]},{"DOI":"10.13039\/501100019642","name":"Open Foundation of State Key Laboratory of Integrated Services Networks","doi-asserted-by":"publisher","award":["ISN23-09"],"award-info":[{"award-number":["ISN23-09"]}],"id":[{"id":"10.13039\/501100019642","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100011532","name":"Foundation of State Key Laboratory of Networking and Switching Technology","doi-asserted-by":"publisher","award":["SKLNST-2021-1-17"],"award-info":[{"award-number":["SKLNST-2021-1-17"]}],"id":[{"id":"10.13039\/501100011532","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Geosci. Remote Sensing"],"published-print":{"date-parts":[[2023]]},"DOI":"10.1109\/tgrs.2023.3254159","type":"journal-article","created":{"date-parts":[[2023,3,8]],"date-time":"2023-03-08T18:25:40Z","timestamp":1678299940000},"page":"1-14","source":"Crossref","is-referenced-by-count":16,"title":["Attentive-Adaptive Network for Hyperspectral Images Classification With Noisy Labels"],"prefix":"10.1109","volume":"61","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4314-0030","authenticated-orcid":false,"given":"Leiquan","family":"Wang","sequence":"first","affiliation":[{"name":"Qingdao Institute of Software, College of Computer Science and Technology, China University of Petroleum (East China), Qingdao, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-7184-369X","authenticated-orcid":false,"given":"Tongchuan","family":"Zhu","sequence":"additional","affiliation":[{"name":"Qingdao Institute of Software, College of Computer Science and Technology, China University of Petroleum, Qingdao, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3020-3947","authenticated-orcid":false,"given":"Neeraj","family":"Kumar","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, Thapar Institute of Engineering and Technology, Patiala, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3934-9053","authenticated-orcid":false,"given":"Zhongwei","family":"Li","sequence":"additional","affiliation":[{"name":"College of Oceanography and Space Informatics, China University of Petroleum (East China), Qingdao, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0944-2564","authenticated-orcid":false,"given":"Chunlei","family":"Wu","sequence":"additional","affiliation":[{"name":"Qingdao Institute of Software, College of Computer Science and Technology, China University of Petroleum, Qingdao, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0990-5581","authenticated-orcid":false,"given":"Peiying","family":"Zhang","sequence":"additional","affiliation":[{"name":"Qingdao Institute of Software, College of Computer Science and Technology, China University of Petroleum (East China), Qingdao, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2016.2580702"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2016.2646420"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.3390\/rs10121940"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2014.2320258"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2008.2005729"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2011.2162649"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2013.2293061"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2010.2047711"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2011.2145353"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.2011.6049493"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1155\/2015\/258619"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2016.2584107"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2017.2755542"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.3390\/rs9121330"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2016.2636241"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3130716"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3144158"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01618"},{"key":"ref19","first-page":"19693","article-title":"What do neural networks learn when trained with random labels?","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"33","author":"Maennel"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2823866"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2896471"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2961141"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/3446776"},{"key":"ref24","first-page":"49","article-title":"Insights regarding overfitting on noise in deep learning","volume-title":"Proc. FAIR","author":"Theunissen"},{"key":"ref25","author":"Weng","year":"2017","journal-title":"Anatomize Deep Learning With Information Theory"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2818945"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2021.3112755"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2951160"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.2994057"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.3390\/rs13040771"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2020\/305"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3057689"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2018.2844873"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.3031928"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.3390\/rs9010067"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2867444"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2861992"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.3029523"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2020.2994162"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-019-01198-w"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP39728.2021.9414568"},{"key":"ref42","first-page":"6543","article-title":"Normalized loss functions for deep learning with noisy labels","volume-title":"Proc. 37th Int. Conf. Mach. Learn.","author":"Ma"}],"container-title":["IEEE Transactions on Geoscience and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/36\/10006360\/10064183.pdf?arnumber=10064183","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,13]],"date-time":"2024-02-13T12:42:21Z","timestamp":1707828141000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10064183\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":42,"URL":"https:\/\/doi.org\/10.1109\/tgrs.2023.3254159","relation":{},"ISSN":["0196-2892","1558-0644"],"issn-type":[{"value":"0196-2892","type":"print"},{"value":"1558-0644","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]}}}