{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,16]],"date-time":"2026-05-16T11:37:29Z","timestamp":1778931449894,"version":"3.51.4"},"reference-count":72,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"name":"European Commission via the projects ASSAS","award":["101059682"],"award-info":[{"award-number":["101059682"]}]},{"DOI":"10.13039\/100002074","name":"Elias Foundation","doi-asserted-by":"publisher","award":["101120237"],"award-info":[{"award-number":["101120237"]}],"id":[{"id":"10.13039\/100002074","id-type":"DOI","asserted-by":"publisher"}]},{"name":"INQUIRE","award":["101057499"],"award-info":[{"award-number":["101057499"]}]},{"name":"PARC","award":["101057014"],"award-info":[{"award-number":["101057014"]}]},{"name":"TAILOR","award":["952215"],"award-info":[{"award-number":["952215"]}]},{"name":"Slovenian Research Agency via the research program","award":["P2-0103"],"award-info":[{"award-number":["P2-0103"]}]},{"name":"Slovenian Research Agency via the research program","award":["GC-0001"],"award-info":[{"award-number":["GC-0001"]}]},{"name":"Slovenian Research Agency via the research program","award":["J1-3033"],"award-info":[{"award-number":["J1-3033"]}]},{"name":"Slovenian Research Agency via the research program","award":["J2-2505"],"award-info":[{"award-number":["J2-2505"]}]},{"name":"Slovenian Research Agency via the research program","award":["J2-4452"],"award-info":[{"award-number":["J2-4452"]}]},{"name":"Slovenian Research Agency via the research program","award":["J2-4660"],"award-info":[{"award-number":["J2-4660"]}]},{"name":"Slovenian Research Agency via the research program","award":["J3-3070"],"award-info":[{"award-number":["J3-3070"]}]},{"name":"Slovenian Research Agency via the research program","award":["J4-3095"],"award-info":[{"award-number":["J4-3095"]}]},{"name":"Slovenian Research Agency via the research program","award":["J5-4575"],"award-info":[{"award-number":["J5-4575"]}]},{"name":"Slovenian Research Agency via the research program","award":["J7-4636"],"award-info":[{"award-number":["J7-4636"]}]},{"name":"Slovenian Research Agency via the research program","award":["J7-4637"],"award-info":[{"award-number":["J7-4637"]}]},{"name":"Slovenian Research Agency via the research program","award":["N2-0236"],"award-info":[{"award-number":["N2-0236"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing"],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/jstars.2025.3578196","type":"journal-article","created":{"date-parts":[[2025,6,9]],"date-time":"2025-06-09T13:35:00Z","timestamp":1749476100000},"page":"14882-14896","source":"Crossref","is-referenced-by-count":5,"title":["SSL-MAE: Adaptive Semisupervised Learning Framework for Multilabel Classification of Remote Sensing Images Using Masked Autoencoders"],"prefix":"10.1109","volume":"18","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4444-3877","authenticated-orcid":false,"given":"Marjan","family":"Stoimchev","sequence":"first","affiliation":[{"name":"Department of Knowledge Technologies, Jo&#x017E;ef Stefan Institute, Ljubljana, Slovenia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4025-051X","authenticated-orcid":false,"given":"Jurica","family":"Levati\u0107","sequence":"additional","affiliation":[{"name":"Department of Knowledge Technologies, Jo&#x017E;ef Stefan Institute, Ljubljana, Slovenia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0687-0878","authenticated-orcid":false,"given":"Dragi","family":"Kocev","sequence":"additional","affiliation":[{"name":"Department of Knowledge Technologies, Jo&#x017E;ef Stefan Institute, Ljubljana, Slovenia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2363-712X","authenticated-orcid":false,"given":"Sa\u0161o","family":"D\u017eeroski","sequence":"additional","affiliation":[{"name":"Department of Knowledge Technologies, Jo&#x017E;ef Stefan Institute, Ljubljana, Slovenia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","first-page":"1","article-title":"Remote sensing image classification: A comprehensive review and applications","volume":"2022","author":"Mehmood","year":"2022","journal-title":"Math. Problems Eng."},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1002\/widm.1264"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2023.05.032"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.jag.2023.103569"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/MGRS.2022.3198244"},{"key":"ref6","article-title":"Dinov2: Learning robust visual features without supervision","author":"Oquab","year":"2023"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2022.3220219"},{"key":"ref8","first-page":"596","article-title":"Fixmatch: Simplifying semi-supervised learning with consistency and confidence","volume-title":"Proc. Int. Conf. Adv. Neural Inf. Process. Syst.","volume":"33","author":"Sohn","year":"2020"},{"key":"ref9","first-page":"18408","article-title":"Flexmatch: Boosting semi-supervised learning with curriculum pseudo labeling","volume-title":"Proc. Int. Conf. Adv. Neural Inf. Process. Syst.","volume":"34","author":"Zhang","year":"2021"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00956"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3140485"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2021.3126082"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.3390\/rs12162603"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2024.3426981"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3122003"},{"key":"ref16","first-page":"9","article-title":"Semi-supervised robust deep neural networks for multi-label classification","volume-title":"Proc. IEEE Conf. Comput. Vis. Pattern Recognit. Workshops","author":"Cevikalp","year":"2019"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2019.107164"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01553"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00943"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00505"},{"key":"ref21","article-title":"MC-SSL0. 0: Towards multi-concept self-supervised learning","author":"Atito","year":"2021"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/WACV56688.2023.00358"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-019-05855-6"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00951"},{"key":"ref25","article-title":"SupMAE: Supervised masked autoencoders are efficient vision learners","author":"Liang","year":"2022"},{"key":"ref26","first-page":"197","article-title":"SatMAE: Pre-training transformers for temporal and multi-spectral satellite imagery","volume-title":"Proc. Int. Conf. Adv. Neural Inf. Process. Syst.","author":"Cong","year":"2022"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2023.3331717"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2023.3315678"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3194732"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.02323"},{"key":"ref31","article-title":"Foundation models for generalist geospatial artificial intelligence","author":"Jakubik","year":"2023"},{"key":"ref32","article-title":"Mixmatch: A holistic approach to semi-supervised learning","volume":"32","author":"Berthelot","year":"2019","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"ref33","first-page":"1","article-title":"Freematch: Self-adaptive thresholding for semi-supervised learning","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Wang","year":"2023"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01070"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00716"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01267-0_9"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2024.3426981"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.3390\/rs12203276"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2024.3356008"},{"key":"ref40","article-title":"Layer normalization","author":"Ba","year":"2016"},{"key":"ref41","first-page":"10524","article-title":"On layer normalization in the transformer architecture","volume-title":"Proc. 37th Int. Conf. Mach. Learn.","volume":"119","author":"Xiong","year":"2020"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2864987"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1145\/1869790.1869829"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2017.2685945"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2015.2475299"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2017.2675998"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2017.2760909"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2963364"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2019.01.015"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2020.09.020"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.2019.8900532"},{"key":"ref52","first-page":"10347","article-title":"Training data-efficient image transformers & distillation through attention","volume-title":"Proc. 38th Int. Conf. Mach. Learn.","volume":"139","author":"Touvron","year":"2021"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00311"},{"key":"ref55","first-page":"3938","article-title":"USB: A unified semi-supervised learning benchmark for classification","volume-title":"Proc. 36th Conf. Neural Inf. Process. Syst. Datasets Benchmarks Track","author":"Wang","year":"2022"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00934"},{"key":"ref57","article-title":"Softmatch: Addressing the quantity-quality trade-off in semi-supervised learning","author":"Chen","year":"2023"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01407"},{"key":"ref59","article-title":"Lightly","author":"Susmelj","year":"2020"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.5555\/3524938.3525087"},{"key":"ref61","article-title":"Bootstrap your own latent: A new approach to self-supervised learning","author":"Grill","year":"2020"},{"key":"ref62","first-page":"1","article-title":"VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Bardes","year":"2022"},{"key":"ref63","article-title":"Momentum contrast for unsupervised visual representation learning","author":"He","year":"2019"},{"issue":"5","key":"ref64","article-title":"Self-supervised learning with trilateral redundancy reduction for urban functional zone identification using street-view imagery","volume-title":"Sensors","volume":"25","author":"Zhao","year":"2025"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.5555\/1953048.2078195"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.7551\/mitpress\/9780262033589.001.0001"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1007\/s11704-019-8452-2"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.21105\/joss.00861"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2023.3336563"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1080\/03610927408827101"},{"key":"ref71","article-title":"An image is worth 16x16 words: Transformers for image recognition at scale","author":"Dosovitskiy","year":"2020"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.385"}],"container-title":["IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/4609443\/10766875\/11029124.pdf?arnumber=11029124","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,23]],"date-time":"2026-02-23T20:48:19Z","timestamp":1771879699000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11029124\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":72,"URL":"https:\/\/doi.org\/10.1109\/jstars.2025.3578196","relation":{},"ISSN":["1939-1404","2151-1535"],"issn-type":[{"value":"1939-1404","type":"print"},{"value":"2151-1535","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]}}}