{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,18]],"date-time":"2026-08-18T00:30:34Z","timestamp":1787013034397,"version":"build-2736575974"},"reference-count":34,"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":["62276197"],"award-info":[{"award-number":["62276197"]}],"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":["62171332"],"award-info":[{"award-number":["62171332"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100015401","name":"Key Research and Development Program in the Shaanxi Province of China","doi-asserted-by":"publisher","award":["2019ZDLGY03-08"],"award-info":[{"award-number":["2019ZDLGY03-08"]}],"id":[{"id":"10.13039\/501100015401","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.2023.3303319","type":"journal-article","created":{"date-parts":[[2023,8,16]],"date-time":"2023-08-16T13:28:00Z","timestamp":1692192480000},"page":"1-15","source":"Crossref","is-referenced-by-count":14,"title":["Spectral-Spatial Distribution Consistent Network Based on Meta-Learning for Cross-Domain Hyperspectral Image Classification"],"prefix":"10.1109","volume":"61","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0379-2042","authenticated-orcid":false,"given":"Xiangrong","family":"Zhang","sequence":"first","affiliation":[{"name":"School of Artificial Intelligence, Xidian University, Xi&#x2019;an, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2041-3123","authenticated-orcid":false,"given":"Qi","family":"Zhen","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence, Xidian University, Xi&#x2019;an, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5757-0694","authenticated-orcid":false,"given":"Zhenyu","family":"Li","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence, Xidian University, Xi&#x2019;an, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiao","family":"Han","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence, Xidian University, Xi&#x2019;an, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5472-1426","authenticated-orcid":false,"given":"Puhua","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence, Xidian University, Xi&#x2019;an, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1375-0778","authenticated-orcid":false,"given":"Xu","family":"Tang","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence, Xidian University, Xi&#x2019;an, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3354-9617","authenticated-orcid":false,"given":"Licheng","family":"Jiao","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence, Xidian University, Xi&#x2019;an, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2925283"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2017.2755542"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3109872"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.3015157"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2018.2869563"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2016.2584107"},{"key":"ref30","article-title":"Airborne hyperspectral data over Chikusei","author":"yokoya","year":"2016"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.3005431"},{"key":"ref33","article-title":"Semi-supervised classification with graph convolutional networks","author":"kipf","year":"2016","journal-title":"arXiv 1609 02907"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2017.2693346"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1080\/2150704X.2017.1331053"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2013.2286195"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2015.2406339"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2020.2966239"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3140353"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.316"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2017.2762593"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2872830"},{"key":"ref23","article-title":"Optimization as a model for few-shot learning","author":"ravi","year":"2017","journal-title":"Proc 5th Int Conf Learn Represent (ICLR)"},{"key":"ref26","first-page":"1024","article-title":"Inductive representation learning on large graphs","volume":"30","author":"hamilton","year":"2017","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3057066"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00262"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2018.2889800"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2016.2646138"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.aiopen.2021.01.001"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00745"},{"key":"ref29","first-page":"1542","article-title":"Graph optimal transport for cross-domain alignment","author":"chen","year":"2020","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2014.2329330"},{"key":"ref7","doi-asserted-by":"crossref","first-page":"5338","DOI":"10.1109\/TGRS.2015.2421638","article-title":"Efficient superpixel-level multitask joint sparse representation for hyperspectral image classification","volume":"53","author":"li","year":"2015","journal-title":"IEEE Trans Geosci Remote Sens"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1155\/2015\/258619"},{"key":"ref4","doi-asserted-by":"crossref","first-page":"358","DOI":"10.1109\/TMM.2003.814792","article-title":"Spatial color descriptor for image retrieval and video segmentation","volume":"5","author":"lee","year":"2003","journal-title":"IEEE Trans Multimedia"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2016.2646420"},{"key":"ref6","first-page":"25","article-title":"Building extraction from high resolution imagery based on multi-scale object oriented classification and probabilistic Hough transform","author":"wang","year":"2005","journal-title":"Proc Int Geosci Remote Sens Symp (IGARSS)"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2012.07.003"}],"container-title":["IEEE Transactions on Geoscience and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/36\/10006360\/10221768.pdf?arnumber=10221768","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,9,25]],"date-time":"2023-09-25T14:20:03Z","timestamp":1695651603000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10221768\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":34,"URL":"https:\/\/doi.org\/10.1109\/tgrs.2023.3303319","relation":{},"ISSN":["0196-2892","1558-0644"],"issn-type":[{"value":"0196-2892","type":"print"},{"value":"1558-0644","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]}}}