{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,6]],"date-time":"2026-01-06T13:38:53Z","timestamp":1767706733620,"version":"3.37.3"},"reference-count":63,"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"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"name":"MIAI@Grenoble Alpes","award":["ANR-19-P3IA-0003"],"award-info":[{"award-number":["ANR-19-P3IA-0003"]}]},{"name":"UC-National Laboratory In-Residence Graduate Fellowship","award":["L21GF3606"],"award-info":[{"award-number":["L21GF3606"]}]},{"DOI":"10.13039\/100000001","name":"NSF CAREER","doi-asserted-by":"publisher","award":["1846690"],"award-info":[{"award-number":["1846690"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National Geospatial-Intelligence Agency through the Project \u201cActive Learning Methods on Graphs for Image, Video and Multispectral Datasets\u201d","award":["HM0476-21-1-0003"],"award-info":[{"award-number":["HM0476-21-1-0003"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Geosci. Remote Sensing"],"published-print":{"date-parts":[[2023]]},"DOI":"10.1109\/tgrs.2023.3313933","type":"journal-article","created":{"date-parts":[[2023,9,11]],"date-time":"2023-09-11T18:06:15Z","timestamp":1694455575000},"page":"1-16","source":"Crossref","is-referenced-by-count":5,"title":["Graph-Based Active Learning for Nearly Blind Hyperspectral Unmixing"],"prefix":"10.1109","volume":"61","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4159-076X","authenticated-orcid":false,"given":"Bohan","family":"Chen","sequence":"first","affiliation":[{"name":"Department of Mathematics, University of California at Los Angeles (UCLA), Los Angeles, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1973-5704","authenticated-orcid":false,"given":"Yifei","family":"Lou","sequence":"additional","affiliation":[{"name":"Department of Mathematics and the School of Data Science and Society, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0396-7391","authenticated-orcid":false,"given":"Andrea L.","family":"Bertozzi","sequence":"additional","affiliation":[{"name":"Department of Mathematics, University of California at Los Angeles (UCLA), Los Angeles, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4817-2875","authenticated-orcid":false,"given":"Jocelyn","family":"Chanussot","sequence":"additional","affiliation":[{"name":"CNRS, Grenoble Institute of Technology (Grenoble INP), GIPSA-Lab, Universit&#x00E9; Grenoble Alpes, Grenoble, France"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2011.2144605"},{"key":"ref57","article-title":"Projection onto the probability simplex: An efficient algorithm with a simple proof, and an application","author":"wang","year":"2013","journal-title":"arXiv 1309 1541"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2016.2519498"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1117\/12.2662393"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/0167-2789(92)90242-F"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1137\/130934568"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2897254"},{"journal-title":"Partial Differential Equations","year":"1998","author":"evans","key":"ref58"},{"key":"ref53","first-page":"2399","article-title":"Manifold regularization: A geometric framework for learning from labeled and unlabeled examples","volume":"7","author":"belkin","year":"2006","journal-title":"J Mach Learn Res"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.2352\/ISSN.2470-1173.2019.11.IPAS-264"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2010.2098413"},{"key":"ref55","first-page":"912","article-title":"Semi-supervised learning using Gaussian fields and harmonic functions","author":"zhu","year":"2003","journal-title":"Proc 20th Int Conf Mach Learn"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/36.911111"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1007\/s11222-007-9033-z"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2017.2683719"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2012.2191590"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2020.2977399"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2872888"},{"key":"ref51","first-page":"556","article-title":"A variance minimization criterion to active learning on graphs","author":"ji","year":"2012","journal-title":"Proc 5th Int Conf Artif Intell Statist"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1007\/s42967-023-00284-8"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2010.2060550"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1117\/12.2618847"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2869723"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2007.910220"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2022.3148139"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS39084.2020.9324546"},{"key":"ref44","article-title":"Model-change active learning in graph-based semi-supervised learning","author":"miller","year":"2021","journal-title":"arXiv 2110 07739"},{"key":"ref43","first-page":"1","article-title":"Efficient graph-based active learning with Probit likelihood via Gaussian approximations","author":"miller","year":"2020","journal-title":"Proc Workshop Real World Exp Design Act Learn"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.2964627"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.laa.2005.06.025"},{"key":"ref7","first-page":"71","article-title":"Recovery of constituent spectra in 3D chemical shift imaging using non-negative matrix factorization","author":"sajda","year":"2003","journal-title":"Proc 4th Int Symp Independ Compon Anal Blind Signal Separat"},{"journal-title":"Nonnegative Matrix and Tensor Factorizations Applications to Exploratory Multi-Way Data Analysis and Blind Source Separation","year":"2009","author":"cichocki","key":"ref9"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2014.2320576"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2012.2194696"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2022.3175257"},{"key":"ref5","doi-asserted-by":"crossref","first-page":"788","DOI":"10.1038\/44565","article-title":"Learning the parts of objects by non-negative matrix factorization","volume":"401","author":"lee","year":"1999","journal-title":"Nature"},{"key":"ref40","doi-asserted-by":"crossref","first-page":"2974","DOI":"10.1109\/JSTARS.2020.2991170","article-title":"Virtual dimensionality of hyperspectral data: Use of multiple hypothesis testing for controlling Type-I error","volume":"13","author":"vijayashekhar","year":"2020","journal-title":"IEEE J Sel Topics Appl Earth Observ Remote Sens"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3146904"},{"key":"ref34","first-page":"1","article-title":"A practical approach for hyperspectral unmixing using deep learning","volume":"19","author":"vijayashekhar","year":"2022","journal-title":"IEEE Geosci Remote Sens Lett"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3155794"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3082289"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/293347.293348"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.3020810"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2856929"},{"key":"ref32","first-page":"1","article-title":"Graph-based active learning for surface water and sediment detection in multispectral images","author":"chen","year":"2023","journal-title":"Proc Int Geosci Remote Sens Symp (IGARSS)"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2878958"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2016.2579259"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2019.09.008"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2018.10.006"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2014.2321121"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2012.2235192"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2012.2213825"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2013.11.014"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2929776"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2005.844293"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2016.7472115"},{"key":"ref21","first-page":"503","article-title":"Graph-based optimization approaches for machine learning, uncertainty quantification and networks","volume":"20","author":"bertozzi","year":"2019","journal-title":"Handbook of Numerical Analysis"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2004.1262185"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.3390\/rs11192188"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/WHISPERS.2019.8921375"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1007\/BF01581204"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2014.11.014"},{"journal-title":"KSA Remote Sensing Datasets","year":"2023","author":"hasanlou","key":"ref61"}],"container-title":["IEEE Transactions on Geoscience and Remote Sensing"],"original-title":[],"link":[{"URL":"https:\/\/ieeexplore.ieee.org\/ielam\/36\/10006360\/10246337-aam.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/36\/10006360\/10246337.pdf?arnumber=10246337","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,10,16]],"date-time":"2023-10-16T18:14:57Z","timestamp":1697480097000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10246337\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":63,"URL":"https:\/\/doi.org\/10.1109\/tgrs.2023.3313933","relation":{},"ISSN":["0196-2892","1558-0644"],"issn-type":[{"type":"print","value":"0196-2892"},{"type":"electronic","value":"1558-0644"}],"subject":[],"published":{"date-parts":[[2023]]}}}