{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,12]],"date-time":"2026-03-12T22:52:08Z","timestamp":1773355928054,"version":"3.50.1"},"reference-count":57,"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-nc-nd\/4.0\/"}],"funder":[{"name":"Zhejiang Provincial Leading Project for Leading Geese Plan","award":["2025C02052"],"award-info":[{"award-number":["2025C02052"]}]},{"name":"National Key Research and Development Program of China","award":["2018YFB0505002"],"award-info":[{"award-number":["2018YFB0505002"]}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["226-2023-00154"],"award-info":[{"award-number":["226-2023-00154"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]}],"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.2025.3601148","type":"journal-article","created":{"date-parts":[[2025,8,27]],"date-time":"2025-08-27T18:31:14Z","timestamp":1756319474000},"page":"22372-22391","source":"Crossref","is-referenced-by-count":2,"title":["A Class-Aware Semi-Supervised Framework for Semantic Segmentation of High-Resolution Remote Sensing Imagery"],"prefix":"10.1109","volume":"18","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1355-2854","authenticated-orcid":false,"given":"Shirou","family":"Wang","sequence":"first","affiliation":[{"name":"Institute of Geography and Spatial Information, School of Earth Science, Zhejiang University, Hangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3540-0309","authenticated-orcid":false,"given":"Cheng","family":"Su","sequence":"additional","affiliation":[{"name":"Institute of Geography and Spatial Information, School of Earth Science, Zhejiang University, Hangzhou, China"}]},{"given":"Xiaocan","family":"Zhang","sequence":"additional","affiliation":[{"name":"Institute of Geography and Spatial Information, School of Earth Science, Zhejiang University, Hangzhou, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2019.111402"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.3390\/rs12071130"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2023.113758"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2024.114324"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2021.3078631"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.cageo.2021.104969"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1038\/s41586-019-0912-1"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2019.04.015"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2021.05.004"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/MGRS.2017.2762307"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2020.111716"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1080\/01431161.2022.2161856"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2020.3021098"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2019.111322"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.jag.2023.103345"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2020.114417"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2024.03.012"},{"key":"ref18","article-title":"Mission criticalsatellite data is a distinct modality in machine learning","author":"Rolf","year":"2024"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.jag.2023.103569"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1080\/01431161.2022.2132123"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2021.3110842"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2023.113924"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.3390\/rs15204987"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2023.3316733"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2022.3220219"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2024.04.010"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00423"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.jag.2022.102931"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00264"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3102026"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3134277"},{"key":"ref32","first-page":"596","article-title":"Fixmatch: Simplifying semi-supervised learning with consistency and confidence","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Sohn","year":"2020"},{"key":"ref33","article-title":"A survey on semi-supervised semantic segmentation","author":"Pelez-Vegas","year":"2023"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2019.11.118"},{"key":"ref35","article-title":"Pseudo-label: The simple and efficient semi-supervised learning method for deep neural networks","volume-title":"Proc. Workshop Challenges Representation Learn.","author":"Lee","year":"2013"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN48605.2020.9207304"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i8.16852"},{"key":"ref38","article-title":"In defense of pseudo-labeling: An uncertainty-aware pseudo-label selection framework for semi-supervised learning","author":"Rizve","year":"2021"},{"key":"ref39","article-title":"Improved regularization of convolutional neural networks with cutout","author":"DeVries","year":"2017"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1007\/springerreference_178963"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00612"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01269"},{"key":"ref43","first-page":"1195","article-title":"Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Tarvainen","year":"2017"},{"key":"ref44","first-page":"18408","article-title":"Flexmatch: Boosting semi-supervised learning with curriculum pseudo labeling","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Zhang","year":"2021"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00699"},{"key":"ref46","article-title":"Bootstrapping semantic segmentation with regional contrast","author":"Liu","year":"2021"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.5555\/3524938.3525087"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1007\/s12524-022-01500-3"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3220755"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2022.3203750"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2021.3119286"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2023.3239042"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2023.3321041"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.5194\/isprsannals-I-3-293-2012"},{"key":"ref56","article-title":"Loveda: A remote sensing land-cover dataset for domain adaptive semantic segmentation","author":"Wang","year":"2021"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3086020"}],"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\/11143061.pdf?arnumber=11143061","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,12]],"date-time":"2025-09-12T17:30:34Z","timestamp":1757698234000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11143061\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":57,"URL":"https:\/\/doi.org\/10.1109\/jstars.2025.3601148","relation":{},"ISSN":["1939-1404","2151-1535"],"issn-type":[{"value":"1939-1404","type":"print"},{"value":"2151-1535","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]}}}