{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,17]],"date-time":"2026-07-17T20:27:54Z","timestamp":1784320074720,"version":"3.55.0"},"reference-count":41,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U21B2041"],"award-info":[{"award-number":["U21B2041"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Geosci. Remote Sensing"],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/tgrs.2024.3437250","type":"journal-article","created":{"date-parts":[[2024,8,2]],"date-time":"2024-08-02T17:27:41Z","timestamp":1722619661000},"page":"1-13","source":"Crossref","is-referenced-by-count":18,"title":["Learning Remote Sensing Aleatoric Uncertainty for Semi-Supervised Change Detection"],"prefix":"10.1109","volume":"62","author":[{"given":"Jinhao","family":"Shen","sequence":"first","affiliation":[{"name":"School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi&#x2019;an, Shaanxi, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2745-1656","authenticated-orcid":false,"given":"Cong","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Electrical and Electronic Engineering, The Hong Kong Polytechnic University, Hong Kong, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mingwei","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi&#x2019;an, Shaanxi, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6736-3389","authenticated-orcid":false,"given":"Qiang","family":"Li","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi&#x2019;an, Shaanxi, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7028-4956","authenticated-orcid":false,"given":"Qi","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi&#x2019;an, Shaanxi, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.3390\/rs12142291"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1080\/01431161.2012.747018"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1080\/014311600210128"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/tgrs.2022.3161337"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2019.02.017"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2012.2210901"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1503.02531"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/tgrs.2023.3312436"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/tgrs.2023.3298661"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2022.3221287"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-009-0275-4"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.3011913"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.3390\/rs14122801"},{"key":"ref15","article-title":"Revisiting consistency regularization for semi-supervised change detection in remote sensing images","author":"Bandara","year":"2022","journal-title":"arXiv:2204.08454"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/tgrs.2023.3314452"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.5555\/3295222.3295309"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2023.3247898"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.2992454"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.3390\/rs14030644"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.3390\/rs13173454"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/tgrs.2022.3233871"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/tgrs.2023.3280957"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00699"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/tgrs.2023.3247605"},{"key":"ref26","first-page":"596","article-title":"FixMatch: Simplifying semi-supervised learning with consistency and confidence","volume-title":"Proc. Adv. Neural Inf. Process. Syst. (NIPS)","author":"Sohn"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.3390\/rs12060901"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2021.3056416"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/tgrs.2022.3159544"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3228016"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2021.3065070"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/tgrs.2023.3267271"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/tgrs.2022.3152516"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/tgrs.2022.3171407"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1802.02611"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00812"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01092"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00612"},{"key":"ref39","article-title":"MixMAE: Mixed and masked autoencoder for efficient pretraining of hierarchical vision transformers","author":"Liu","year":"2022","journal-title":"arXiv:2205.13137"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.5194\/isprs-archives-XLII-2-565-2018"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2960224"}],"container-title":["IEEE Transactions on Geoscience and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/36\/10354519\/10621657.pdf?arnumber=10621657","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,17]],"date-time":"2024-08-17T04:21:40Z","timestamp":1723868500000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10621657\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":41,"URL":"https:\/\/doi.org\/10.1109\/tgrs.2024.3437250","relation":{},"ISSN":["0196-2892","1558-0644"],"issn-type":[{"value":"0196-2892","type":"print"},{"value":"1558-0644","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]}}}