{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,19]],"date-time":"2026-02-19T01:39:36Z","timestamp":1771465176991,"version":"3.50.1"},"reference-count":55,"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":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62176126"],"award-info":[{"award-number":["62176126"]}],"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":["61906091"],"award-info":[{"award-number":["61906091"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004608","name":"Natural Science Foundation of Jiangsu Province, China","doi-asserted-by":"publisher","award":["BK20190440"],"award-info":[{"award-number":["BK20190440"]}],"id":[{"id":"10.13039\/501100004608","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["30921011210"],"award-info":[{"award-number":["30921011210"]}],"id":[{"id":"10.13039\/501100012226","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.2022.3191541","type":"journal-article","created":{"date-parts":[[2022,7,15]],"date-time":"2022-07-15T19:31:34Z","timestamp":1657913494000},"page":"1-14","source":"Crossref","is-referenced-by-count":17,"title":["Hyperspectral Image Few-Shot Classification Network Based on the Earth Mover\u2019s Distance"],"prefix":"10.1109","volume":"60","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9901-8187","authenticated-orcid":false,"given":"Jiaxing","family":"Sun","sequence":"first","affiliation":[{"name":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8494-4532","authenticated-orcid":false,"given":"Xiaobo","family":"Shen","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Quansen","family":"Sun","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2015.2406339"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2020.2964000"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2020.2964483"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2019.2939133"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2020.2965302"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2015.2410991"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2014.2344442"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2016.2636877"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2021.3087029"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1155\/2015\/258619"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2018.2864921"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2016.2636241"},{"key":"ref13","first-page":"2234","article-title":"Improved techniques for training GANs","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"29","author":"Salimans"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2017.2780890"},{"key":"ref15","first-page":"3630","article-title":"Matching networks for one shot learning","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"29","author":"Vinyals"},{"key":"ref16","first-page":"4077","article-title":"Prototypical networks for few-shot learning","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"30","author":"Snell"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00131"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2872830"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.3390\/rs12060923"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3057066"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2011.2153861"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2008.2005729"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICME.2014.6890171"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2676344"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2828161"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2017.2785359"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2017.2765364"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2944989"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2809606"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2725580"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.3007921"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2016.2584107"},{"key":"ref33","article-title":"3D CNN with localized residual connections for hyperspectral image classification","author":"Dwivedi","year":"2019","journal-title":"arXiv:1912.03000"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2020.3024841"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3090413"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2871782"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3029174"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/tgrs.2021.3067356"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2772836"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2019.2899157"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2021.3102610"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2020.01.042"},{"key":"ref43","first-page":"1126","article-title":"Model-agnostic meta-learning for fast adaptation of deep networks","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Finn"},{"key":"ref44","first-page":"32","article-title":"Meta-learning with implicit gradients","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Rajeswaran"},{"key":"ref45","first-page":"3314","article-title":"Meta-curvature","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"32","author":"Park"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1145\/3394171.3413893"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2020.3002787"},{"issue":"2","key":"ref48","doi-asserted-by":"crossref","first-page":"99","DOI":"10.1023\/A:1026543900054","article-title":"The earth movers distance as a metric for image retrieval","volume":"40","author":"Rubner","year":"2000","journal-title":"Int. J. Comput. Vis."},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01222"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref51","article-title":"Adam: A method for stochastic optimization","author":"Kingma","year":"2014","journal-title":"arXiv:1412.6980"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2017.2769673"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.123"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2014.08.016"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.3390\/rs11111307"}],"container-title":["IEEE Transactions on Geoscience and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/36\/9633014\/09830757.pdf?arnumber=9830757","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T06:14:28Z","timestamp":1706768068000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9830757\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":55,"URL":"https:\/\/doi.org\/10.1109\/tgrs.2022.3191541","relation":{},"ISSN":["0196-2892","1558-0644"],"issn-type":[{"value":"0196-2892","type":"print"},{"value":"1558-0644","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]}}}