{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,10]],"date-time":"2026-04-10T10:05:57Z","timestamp":1775815557734,"version":"3.50.1"},"reference-count":41,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"6","license":[{"start":{"date-parts":[[2022,6,1]],"date-time":"2022-06-01T00:00:00Z","timestamp":1654041600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,6,1]],"date-time":"2022-06-01T00:00:00Z","timestamp":1654041600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,6,1]],"date-time":"2022-06-01T00:00:00Z","timestamp":1654041600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"State Key Program of National Natural Science of China","doi-asserted-by":"publisher","award":["61836009"],"award-info":[{"award-number":["61836009"]}],"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":["61772401"],"award-info":[{"award-number":["61772401"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100015009","name":"Open Fund of Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education","doi-asserted-by":"publisher","award":["IPIU2019007"],"award-info":[{"award-number":["IPIU2019007"]}],"id":[{"id":"10.13039\/501100015009","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Natural Resources Scientific Research Project of Department of the Natural Resources of Hunan Province","award":["201910"],"award-info":[{"award-number":["201910"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Cybern."],"published-print":{"date-parts":[[2022,6]]},"DOI":"10.1109\/tcyb.2020.3032958","type":"journal-article","created":{"date-parts":[[2020,11,25]],"date-time":"2020-11-25T02:06:11Z","timestamp":1606269971000},"page":"5474-5485","source":"Crossref","is-referenced-by-count":62,"title":["Class Incremental Learning With Few-Shots Based on Linear Programming for Hyperspectral Image Classification"],"prefix":"10.1109","volume":"52","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5412-7793","authenticated-orcid":false,"given":"Jing","family":"Bai","sequence":"first","affiliation":[{"name":"School of Artificial Intelligence, Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi’an, China"}]},{"given":"Anran","family":"Yuan","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence, Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi’an, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5645-160X","authenticated-orcid":false,"given":"Zhu","family":"Xiao","sequence":"additional","affiliation":[{"name":"College of Computer Science and Electronics Engineering, Hunan University, Changsha, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7331-5589","authenticated-orcid":false,"given":"Huaji","family":"Zhou","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence, Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi’an, China"}]},{"given":"Dingchen","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Science, Xi’an Jiaotong University, Xi’an, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7372-2539","authenticated-orcid":false,"given":"Hongbo","family":"Jiang","sequence":"additional","affiliation":[{"name":"College of Computer Science and Electronics Engineering, Hunan University, Changsha, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3354-9617","authenticated-orcid":false,"given":"Licheng","family":"Jiao","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence, Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi’an, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.29007\/8559"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2007.890808"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2003.812907"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2008.04.013"},{"key":"ref5","volume-title":"Net2Net: Accelerating learning via knowledge transfer","author":"Chen","year":"2015"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2841823"},{"key":"ref7","first-page":"1","article-title":"Active volcano monitoring using a space-based hyperspectral imager","volume-title":"Proc. AGU Fall Meeting Abstracts","author":"Cipar"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1080\/0143116031000101675"},{"key":"ref9","first-page":"647","article-title":"DeCAF: A deep convolutional activation feature for generic visual recognition","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Donahue"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2832629"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2018.2883472"},{"key":"ref12","first-page":"249","article-title":"Understanding the difficulty of training deep feedforward neural networks","volume-title":"Proc. 13th Int. Conf. Artif. Intell. Stat. (PMLR)","author":"Glorot"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1117\/1.1497985"},{"key":"ref14","volume-title":"Deep Learning","author":"Goodfellow","year":"2016"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2980386"},{"key":"ref16","volume-title":"Distilling the knowledge in a neural network","author":"Hinton","year":"2015"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00092"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1155\/2015\/258619"},{"key":"ref19","volume-title":"Less-forgetting learning in deep neural networks","author":"Jung","year":"2016"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2810113"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2013.2289331"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2016.2616355"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2773081"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2019.06.016"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2017.06.084"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2018.2810806"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.3390\/rs11080963"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00610"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00755"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.587"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v29i1.9347"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2014.131"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4615-5529-2_8"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2019.02.005"},{"key":"ref35","volume-title":"Incremental classifier learning with generative adversarial networks","author":"Wu","year":"2018"},{"key":"ref36","first-page":"3320","article-title":"How transferable are features in deep neural networks?","volume-title":"Advances in Neural Information Processing Systems","author":"Yosinski","year":"2014"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2016.2533430"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/WACV45572.2020.9093365"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10590-1_54"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2017.10.006"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2893180"}],"container-title":["IEEE Transactions on Cybernetics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6221036\/9797898\/09269514.pdf?arnumber=9269514","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,9]],"date-time":"2024-01-09T22:51:23Z","timestamp":1704840683000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9269514\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,6]]},"references-count":41,"journal-issue":{"issue":"6"},"URL":"https:\/\/doi.org\/10.1109\/tcyb.2020.3032958","relation":{},"ISSN":["2168-2267","2168-2275"],"issn-type":[{"value":"2168-2267","type":"print"},{"value":"2168-2275","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,6]]}}}