{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,6]],"date-time":"2026-04-06T21:01:33Z","timestamp":1775509293661,"version":"3.50.1"},"reference-count":47,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing"],"published-print":{"date-parts":[[2021]]},"DOI":"10.1109\/jstars.2020.3040218","type":"journal-article","created":{"date-parts":[[2020,11,25]],"date-time":"2020-11-25T02:00:17Z","timestamp":1606269617000},"page":"402-415","source":"Crossref","is-referenced-by-count":15,"title":["Affinity Matrix Learning Via Nonnegative Matrix Factorization for Hyperspectral Imagery Clustering"],"prefix":"10.1109","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3777-6334","authenticated-orcid":false,"given":"Yao","family":"Qin","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Biao","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Weiping","family":"Ni","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6908-1975","authenticated-orcid":false,"given":"Sinong","family":"Quan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Peizhong","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hui","family":"Bian","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"crossref","first-page":"4690","DOI":"10.1109\/JSTARS.2019.2947355","article-title":"An adaptive affinity matrix optimization for locality preserving projection via heuristic methods for hyperspectral image analysis","volume":"12","author":"takn","year":"2019","journal-title":"IEEE J Sel Top Appl Earth Observ Remote Sens"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2017.2768079"},{"key":"ref33","first-page":"775","article-title":"Discriminative clustering by regularized information maximization","author":"krause","year":"0","journal-title":"Proc Adv Neural Inf Proc Syst"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2020.2965328"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.2968848"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2889949"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2913004"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2017.2746625"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2019.2907598"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2855437"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2863224"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2013.2279894"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1117\/1.OE.57.3.033107"},{"key":"ref12","article-title":"SpectralNet: Spectral clustering using deep neural networks","author":"shaham","year":"0","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.1975.1055415"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/0031-3203(90)90054-O"},{"key":"ref15","first-page":"1027","article-title":"k-means++: The advantages of careful seeding","author":"arthur","year":"0","journal-title":"Proc 18th Annu ACM-SIAM Symp Discrete Algorithms"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCB.2004.831165"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1126\/science.1242072"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2010.2047711"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2869723"},{"key":"ref28","first-page":"1558","article-title":"Learning discrete representations via information maximizing self-augmented training","author":"hu","year":"0","journal-title":"Proc 34th Int Conf Mach Learn"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/MGRS.2016.2548504"},{"key":"ref27","first-page":"478","article-title":"Unsupervised deep embedding for clustering analysis","author":"xie","year":"0","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2013.2279179"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2016.2605044"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2020.07.028"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2011.2162339"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2889195"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.jag.2011.03.007"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2012.2197589"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2009.2019636"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2937204"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2013.2240655"},{"key":"ref46","doi-asserted-by":"crossref","first-page":"1548","DOI":"10.1109\/TPAMI.2010.231","article-title":"Graph regularized nonnegative matrix factorization for data representation","volume":"33","author":"cai","year":"2011","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995323"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2013.57"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2015.2393357"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1137\/0105003"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2016.2625200"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2019.02.008"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2016.2524557"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1117\/12.2533164"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2852708"},{"key":"ref44","first-page":"535","article-title":"Algorithms for non-negative matrix factorization","author":"lee","year":"0","journal-title":"Proc Int Conf Neural Inf Proc Syst"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2018.08.008"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.3390\/rs12050775"}],"container-title":["IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/4609443\/9314330\/09268461.pdf?arnumber=9268461","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T16:02:04Z","timestamp":1642003324000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9268461\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":47,"URL":"https:\/\/doi.org\/10.1109\/jstars.2020.3040218","relation":{},"ISSN":["1939-1404","2151-1535"],"issn-type":[{"value":"1939-1404","type":"print"},{"value":"2151-1535","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]}}}