{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,29]],"date-time":"2026-05-29T11:25:44Z","timestamp":1780053944113,"version":"3.54.0"},"reference-count":31,"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\/501100007129","name":"Natural Science Foundation of Shandong Province, China","doi-asserted-by":"publisher","award":["ZR2019MF073"],"award-info":[{"award-number":["ZR2019MF073"]}],"id":[{"id":"10.13039\/501100007129","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities, China University of Petroleum","doi-asserted-by":"publisher","award":["20CX05001A"],"award-info":[{"award-number":["20CX05001A"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002886","name":"Major Scientific and Technological Projects of China National Petroleum Corporation","doi-asserted-by":"publisher","award":["ZD2019-183-008"],"award-info":[{"award-number":["ZD2019-183-008"]}],"id":[{"id":"10.13039\/501100002886","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Graduate Innovation Project of China University of Petroleum","award":["YCX2021117"],"award-info":[{"award-number":["YCX2021117"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Geosci. Remote Sensing Lett."],"published-print":{"date-parts":[[2022]]},"DOI":"10.1109\/lgrs.2022.3157320","type":"journal-article","created":{"date-parts":[[2022,3,8]],"date-time":"2022-03-08T21:31:14Z","timestamp":1646775074000},"page":"1-5","source":"Crossref","is-referenced-by-count":15,"title":["Learning to Cooperate: Decision Fusion Method for Few-Shot Remote-Sensing Scene Classification"],"prefix":"10.1109","volume":"19","author":[{"given":"Lei","family":"Xing","sequence":"first","affiliation":[{"name":"College of Oceanography and Space Informatics, China University of Petroleum (East China), Qingdao, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7655-5630","authenticated-orcid":false,"given":"Shuai","family":"Shao","sequence":"additional","affiliation":[{"name":"College of Control Science and Engineering, China University of Petroleum (East China), Qingdao, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuteng","family":"Ma","sequence":"additional","affiliation":[{"name":"College of Oceanography and Space Informatics, China University of Petroleum (East China), Qingdao, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9910-7884","authenticated-orcid":false,"given":"Yanjiang","family":"Wang","sequence":"additional","affiliation":[{"name":"College of Control Science and Engineering, China University of Petroleum (East China), Qingdao, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5388-9080","authenticated-orcid":false,"given":"Weifeng","family":"Liu","sequence":"additional","affiliation":[{"name":"College of Control Science and Engineering, China University of Petroleum (East China), Qingdao, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1408-5514","authenticated-orcid":false,"given":"Baodi","family":"Liu","sequence":"additional","affiliation":[{"name":"College of Control Science and Engineering, China University of Petroleum (East China), Qingdao, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2015.2513443"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.3390\/rs11202420"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.2019.8898656"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2015.2475299"},{"key":"ref5","first-page":"4077","article-title":"Prototypical networks for few-shot learning","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Snell"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2021.3135023"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01285"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/3474085.3475553"},{"key":"ref9","article-title":"CIM: Class-irrelevant mapping for few-shot classification","volume-title":"arXiv:2109.02840","author":"Shao","year":"2021"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ITAIC49862.2020.9338863"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.3390\/rs13010108"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2017.2675998"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/1869790.1869829"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.3033336"},{"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","article-title":"Meta-SGD: Learning to learn quickly for few-shot learning","volume-title":"arXiv:1707.09835","author":"Li","year":"2017"},{"key":"ref17","first-page":"1126","article-title":"Model-agnostic meta-learning for fast adaptation of deep networks","volume-title":"Proc. ICML","author":"Finn"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00131"},{"key":"ref19","first-page":"719","article-title":"TADAM: Task dependent adaptive metric for improved few-shot learning","volume-title":"Proc. NeurIPS","author":"Oreshkin"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01091"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00419"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00883"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.3390\/s21051566"},{"key":"ref24","article-title":"Learning to propagate labels: Transductive propagation network for few-shot learning","volume-title":"arXiv:1805.10002","author":"Liu","year":"2018"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3153679"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.3390\/rs13214200"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2019.2897652"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/M2GARSS47143.2020.9105154"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01222"},{"key":"ref30","article-title":"RS-MetaNet: Deep meta metric learning for few-shot remote sensing scene classification","volume-title":"arXiv:2009.13364","author":"Li","year":"2020"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CDMA47397.2020.00019"}],"container-title":["IEEE Geoscience and Remote Sensing Letters"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8859\/9651998\/09729799.pdf?arnumber=9729799","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,17]],"date-time":"2024-01-17T23:03:11Z","timestamp":1705532591000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9729799\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":31,"URL":"https:\/\/doi.org\/10.1109\/lgrs.2022.3157320","relation":{},"ISSN":["1545-598X","1558-0571"],"issn-type":[{"value":"1545-598X","type":"print"},{"value":"1558-0571","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]}}}