{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,22]],"date-time":"2026-04-22T19:08:07Z","timestamp":1776884887427,"version":"3.51.2"},"reference-count":60,"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\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61977022"],"award-info":[{"award-number":["61977022"]}],"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":["62271200"],"award-info":[{"award-number":["62271200"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Foundation of Department of Water Resources of Hunan Province","award":["XSKJ2021000-12"],"award-info":[{"award-number":["XSKJ2021000-12"]}]},{"name":"Foundation of Department of Water Resources of Hunan Province","award":["XSKJ2021000-13"],"award-info":[{"award-number":["XSKJ2021000-13"]}]},{"name":"Foundation of Department of Water Resources of Hunan Province","award":["XSKJ2022068-48"],"award-info":[{"award-number":["XSKJ2022068-48"]}]},{"DOI":"10.13039\/501100004735","name":"Natural Science Foundation of Hunan Province","doi-asserted-by":"publisher","award":["2021JJ40226"],"award-info":[{"award-number":["2021JJ40226"]}],"id":[{"id":"10.13039\/501100004735","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Foundation of Education Bureau of Hunan Province","award":["21B0590"],"award-info":[{"award-number":["21B0590"]}]},{"name":"Foundation of Education Bureau of Hunan Province","award":["21B0595"],"award-info":[{"award-number":["21B0595"]}]},{"name":"Foundation of Education Bureau of Hunan Province","award":["20B062"],"award-info":[{"award-number":["20B062"]}]},{"name":"Scientific Research Fund of Education Department of Hunan Province","award":["19A200"],"award-info":[{"award-number":["19A200"]}]}],"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.2023.3234302","type":"journal-article","created":{"date-parts":[[2023,1,5]],"date-time":"2023-01-05T18:59:18Z","timestamp":1672945158000},"page":"1335-1349","source":"Crossref","is-referenced-by-count":55,"title":["Convolutional Transformer-Based Few-Shot Learning for Cross-Domain Hyperspectral Image Classification"],"prefix":"10.1109","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3942-978X","authenticated-orcid":false,"given":"Yishu","family":"Peng","sequence":"first","affiliation":[{"name":"School of Information Science and Engineering, Hunan Institute of Science and Technology, Yueyang, China"}]},{"given":"Yaru","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Information Science and Engineering, Hunan Institute of Science and Technology, Yueyang, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5802-9496","authenticated-orcid":false,"given":"Bing","family":"Tu","sequence":"additional","affiliation":[{"name":"School of Information Science and Engineering, Hunan Institute of Science and Technology, Yueyang, China"}]},{"given":"Yuwen","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Information Science and Engineering, Hunan Institute of Science and Technology, Yueyang, China"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.2019.8899197"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1145\/3474085.3475655"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3203476"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS46834.2022.9883118"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS46834.2022.9883830"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TENCON54134.2021.9707289"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2013.249"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ICIEA.2019.8834368"},{"key":"ref35","article-title":"A two-stage adaptation network (TSAN) for remote sensing scene classification in single-source-mixed-multiple-target domain adaptation (s$^{2}$m$^{2}$t da) scenarios","volume":"60","author":"zheng","year":"2021","journal-title":"IEEE Trans Geosci Remote Sens"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1561\/0600000057"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2872830"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.3390\/rs13030498"},{"key":"ref27","article-title":"SpectralFormer: Rethinking hyperspectral image classification with transformers","volume":"60","author":"hong","year":"2021","journal-title":"IEEE Trans Geosci Remote Sens"},{"key":"ref29","article-title":"An image is worth 16x16 words: Transformers for image recognition at scale","author":"dosovitskiy","year":"0","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref2","article-title":"Spectral&#x2013;spatial classification of hyperspectral imagery with 3D convolutional neural network","volume":"9","author":"li","year":"2017","journal-title":"Remote Sens"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2860464"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2021.3128932"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2021.03.035"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2021.3091591"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/BigData52589.2021.9671673"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/M2GARSS47143.2020.9105154"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP43922.2022.9747622"},{"key":"ref25","article-title":"Deep cross-domain few-shot learning for hyperspectral image classification","volume":"60","author":"li","year":"2021","journal-title":"IEEE Trans Geosci Remote Sens"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.3390\/rs12060923"},{"key":"ref51","first-page":"4055","article-title":"Image transformer","author":"parmar","year":"0","journal-title":"Proc 35th Int Conf Mach Learn"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1007\/s11220-015-0126-z"},{"key":"ref58","article-title":"Airborne hyperspectral data over Chikusei","author":"yokoya","year":"2016"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N18-2074"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.2478\/pralin-2018-0002"},{"key":"ref55","first-page":"15908","article-title":"Transformer in transformer","volume":"34","author":"han","year":"0","journal-title":"Proc 35th Int Conf Neural Inf Process Syst"},{"key":"ref54","first-page":"6000","article-title":"Attention is all you need","author":"vaswani","year":"0","journal-title":"Proc 31st Int Conf Neural Inf Process Syst"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3152247"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2022.3169815"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS47720.2021.9553470"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2022.3163423"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/WACV51458.2022.00202"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.3046756"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.2018.8519419"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICARES.2019.8914345"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2005.857030"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/36.581987"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/36.905255"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2946318"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3109872"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3087186"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3073699"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2021.3104153"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3116138"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2916329"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.34133\/2021\/9825415"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00131"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2004.831865"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2021.3052869"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2934694"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1145\/3386252"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/ISCIPT53667.2021.00159"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP39728.2021.9413783"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.3011526"},{"key":"ref44","article-title":"Meta-SGD: Learning to learn quickly for few-shot learning","author":"li","year":"2017"},{"key":"ref43","first-page":"4080","article-title":"Prototypical networks for few-shot learning","author":"snell","year":"0","journal-title":"Proc 31st Int Conf Neural Inf Process Syst"}],"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\/10006890.pdf?arnumber=10006890","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,2,27]],"date-time":"2023-02-27T18:51:59Z","timestamp":1677523919000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10006890\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":60,"URL":"https:\/\/doi.org\/10.1109\/jstars.2023.3234302","relation":{},"ISSN":["1939-1404","2151-1535"],"issn-type":[{"value":"1939-1404","type":"print"},{"value":"2151-1535","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]}}}