{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,28]],"date-time":"2026-07-28T14:29:59Z","timestamp":1785248999516,"version":"3.55.0"},"reference-count":35,"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\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2022ZD0160402"],"award-info":[{"award-number":["2022ZD0160402"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62201471"],"award-info":[{"award-number":["62201471"]}],"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":["61871470"],"award-info":[{"award-number":["61871470"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Scientific and Technological Funds for Young Scientists of Shaanxi","award":["2021JQ-120"],"award-info":[{"award-number":["2021JQ-120"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Geosci. Remote Sensing"],"published-print":{"date-parts":[[2023]]},"DOI":"10.1109\/tgrs.2023.3267070","type":"journal-article","created":{"date-parts":[[2023,4,14]],"date-time":"2023-04-14T17:28:21Z","timestamp":1681493301000},"page":"1-11","source":"Crossref","is-referenced-by-count":29,"title":["Deep Spectral Clustering With Regularized Linear Embedding for Hyperspectral Image Clustering"],"prefix":"10.1109","volume":"61","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5140-5126","authenticated-orcid":false,"given":"Yang","family":"Zhao","sequence":"first","affiliation":[{"name":"School of Artificial Intelligence, OPtics and ElectroNics (iOPEN), Northwestern Polytechnical University, Xi&#x2019;an, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2924-946X","authenticated-orcid":false,"given":"Xuelong","family":"Li","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence, OPtics and ElectroNics (iOPEN), Northwestern Polytechnical University, Xi&#x2019;an, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-41822-8_15"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2022.3224577"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/MGRS.2020.3032575"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2017.09.015"},{"key":"ref15","first-page":"1","article-title":"Auto-encoding variational Bayes","author":"kingma","year":"2014","journal-title":"Proc 2nd Int Conf Learn Represent"},{"key":"ref14","first-page":"478","article-title":"Unsupervised deep embedding for clustering analysis","volume":"48","author":"xie","year":"2015","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.425"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.426"},{"key":"ref11","doi-asserted-by":"crossref","first-page":"1796","DOI":"10.1109\/TNN.2011.2162000","article-title":"Spectral embedded clustering: A framework for in-sample and out-of-sample spectral clustering","volume":"22","author":"nie","year":"2011","journal-title":"IEEE Trans Neural Netw"},{"key":"ref33","author":"subramanian","year":"2020","journal-title":"PyTorch-VAE"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2876327"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2013.57"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.2994968"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3066474"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2020.2965328"},{"key":"ref16","article-title":"Variational deep embedding: A generative approach to clustering","author":"jiang","year":"2016","journal-title":"arXiv 1611 05148"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2020.3013205"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.2978389"},{"key":"ref24","article-title":"Contrastive clustering","author":"li","year":"2020","journal-title":"arXiv 2009 09687"},{"key":"ref23","first-page":"1","article-title":"Asymmetric Siamese networks for semantic change detection in aerial images","volume":"60","author":"yang","year":"2021","journal-title":"IEEE Trans Geosci Remote Sens"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP40776.2020.9053271"},{"key":"ref25","first-page":"1","article-title":"Large-scale hyperspectral image clustering using contrastive learning","volume":"3052","author":"cai","year":"2021","journal-title":"Proc Workshops Co-Located 30th ACM Int Conf Inf Knowl Manag"},{"key":"ref20","first-page":"1985","article-title":"Deep spectral clustering learning","volume":"70","author":"law","year":"2017","journal-title":"Proc 34th Int Conf Mach Learn"},{"key":"ref22","first-page":"1","article-title":"SpectralNet: Spectral clustering using deep neural networks","author":"shaham","year":"2018","journal-title":"Proc 6th Int Conf Learn Represent"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2020.107522"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/1273496.1273633"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2020.3035677"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2018.08.059"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/2623330.2623726"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2008.292"},{"key":"ref4","doi-asserted-by":"crossref","first-page":"888","DOI":"10.1109\/34.868688","article-title":"Normalized cuts and image segmentation","volume":"22","author":"shi","year":"2000","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2947776"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2017.2746625"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2017\/347"}],"container-title":["IEEE Transactions on Geoscience and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/36\/10006360\/10102563.pdf?arnumber=10102563","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,5,22]],"date-time":"2023-05-22T17:50:39Z","timestamp":1684777839000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10102563\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":35,"URL":"https:\/\/doi.org\/10.1109\/tgrs.2023.3267070","relation":{},"ISSN":["0196-2892","1558-0644"],"issn-type":[{"value":"0196-2892","type":"print"},{"value":"1558-0644","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]}}}