{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,31]],"date-time":"2026-03-31T19:51:39Z","timestamp":1774986699757,"version":"3.50.1"},"reference-count":75,"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:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"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":["62076192"],"award-info":[{"award-number":["62076192"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100015401","name":"Key Research and Development Program in Shaanxi Province of China","doi-asserted-by":"publisher","award":["2019ZDLGY03-06"],"award-info":[{"award-number":["2019ZDLGY03-06"]}],"id":[{"id":"10.13039\/501100015401","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"State Key Program of National Natural Science of China","doi-asserted-by":"publisher","award":["61836009"],"award-info":[{"award-number":["61836009"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Program for Cheung Kong Scholars and Innovative Research Team in University","award":["IRT_15R53"],"award-info":[{"award-number":["IRT_15R53"]}]},{"name":"Fund for Foreign Scholars in University Research and Teaching Programs","award":["B07048"],"award-info":[{"award-number":["B07048"]}]},{"name":"Key Scientific Technological Innovation Research Project by the Ministry of Education"},{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"name":"CAAI Huawei MindSpore Open Fund"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Geosci. Remote Sensing"],"published-print":{"date-parts":[[2023]]},"DOI":"10.1109\/tgrs.2023.3286113","type":"journal-article","created":{"date-parts":[[2023,6,14]],"date-time":"2023-06-14T17:22:13Z","timestamp":1686763333000},"page":"1-14","source":"Crossref","is-referenced-by-count":16,"title":["SDCDNet: A Semi-Dual Change Detection Network Framework With Super-Weak Label for Remote Sensing Image"],"prefix":"10.1109","volume":"61","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0375-9253","authenticated-orcid":false,"given":"Jiahao","family":"Wang","sequence":"first","affiliation":[{"name":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, International Research Center for Intelligent Perception and Computation, Joint International Research Laboratory of Intelligent Perception and Computation, School of Artificial Intelligence, Xidian University, Xi’an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5669-9354","authenticated-orcid":false,"given":"Fang","family":"Liu","sequence":"additional","affiliation":[{"name":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, International Research Center for Intelligent Perception and Computation, Joint International Research Laboratory of Intelligent Perception and Computation, School of Artificial Intelligence, Xidian University, Xi’an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hao","family":"Wang","sequence":"additional","affiliation":[{"name":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, International Research Center for Intelligent Perception and Computation, Joint International Research Laboratory of Intelligent Perception and Computation, School of Artificial Intelligence, Xidian University, Xi’an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8780-5455","authenticated-orcid":false,"given":"Xu","family":"Liu","sequence":"additional","affiliation":[{"name":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, International Research Center for Intelligent Perception and Computation, Joint International Research Laboratory of Intelligent Perception and Computation, School of Artificial Intelligence, Xidian University, Xi’an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3354-9617","authenticated-orcid":false,"given":"Licheng","family":"Jiao","sequence":"additional","affiliation":[{"name":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, International Research Center for Intelligent Perception and Computation, Joint International Research Laboratory of Intelligent Perception and Computation, School of Artificial Intelligence, Xidian University, Xi’an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-1050-6177","authenticated-orcid":false,"given":"Hua","family":"Yang","sequence":"additional","affiliation":[{"name":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, International Research Center for Intelligent Perception and Computation, Joint International Research Laboratory of Intelligent Perception and Computation, School of Artificial Intelligence, Xidian University, Xi’an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6130-2518","authenticated-orcid":false,"given":"Lingling","family":"Li","sequence":"additional","affiliation":[{"name":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, International Research Center for Intelligent Perception and Computation, Joint International Research Laboratory of Intelligent Perception and Computation, School of Artificial Intelligence, Xidian University, Xi’an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5472-1426","authenticated-orcid":false,"given":"Puhua","family":"Chen","sequence":"additional","affiliation":[{"name":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, International Research Center for Intelligent Perception and Computation, Joint International Research Laboratory of Intelligent Perception and Computation, School of Artificial Intelligence, Xidian University, Xi’an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.spc.2021.02.025"},{"key":"ref57","article-title":"Revisiting consistency regularization for semi-supervised change detection in remote sensing images","author":"bandara","year":"2022","journal-title":"arXiv 2204 08454"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2019.111522"},{"key":"ref56","article-title":"Fully convolutional change detection framework with generative adversarial network for unsupervised, weakly supervised and regional supervised change detection","author":"wu","year":"2022","journal-title":"arXiv 2201 06030"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3008036"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.3390\/rs14122801"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TCSS.2022.3157142"},{"key":"ref58","article-title":"BLDNet: A semi-supervised change detection building damage framework using graph convolutional networks and urban domain knowledge","author":"ismail","year":"2022","journal-title":"arXiv 2201 10389"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.3011913"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3095166"},{"key":"ref11","first-page":"15","article-title":"Deep learning-based change detection method for environmental change monitoring using Sentinel-2 datasets","volume":"5","author":"ahangarha","year":"2020","journal-title":"Environ Sci"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS39084.2020.9324345"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.5194\/nhess-23-789-2023"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2960224"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3055584"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.5194\/isprs-annals-V-2-2020-541-2020"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/s41064-021-00179-4"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2888985"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.3390\/rs13183707"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.3390\/rs13081440"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2021.3056416"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2020.2988032"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2956756"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2020.06.003"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2018.8451652"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.3390\/rs12060901"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.3033009"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.3390\/rs12101662"},{"key":"ref49","doi-asserted-by":"crossref","first-page":"1194","DOI":"10.1109\/JSTARS.2020.3037893","article-title":"DASNet: Dual attentive fully convolutional Siamese networks for change detection in high-resolution satellite images","volume":"14","author":"chen","year":"2021","journal-title":"IEEE J Sel Topics Appl Earth Observ Remote Sens"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3167745"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2022.3154922"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2020.07.005"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.2981051"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.ecoinf.2021.101310"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3079627"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3228776"},{"key":"ref40","article-title":"Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results","author":"tarvainen","year":"2017","journal-title":"Proc NIPS"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1117\/1.JRS.11.042609"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2019.04.015"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.3390\/rs12233907"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.3007412"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2008.916643"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.5194\/isprs-archives-XLII-2-565-2018"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.3390\/info10110353"},{"key":"ref74","article-title":"Pytorch: An imperative style, high-performance deep learning library","author":"paszke","year":"2019","journal-title":"Proc NIPS"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2022.3150571"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/FUZZ-IEEE.2015.7337978"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2021.07.007"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/MGRS.2021.3088865"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS47720.2021.9553768"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.5194\/isprs-archives-XLIII-B3-2021-829-2021"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2858817"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1109\/ISIMP.2004.1434171"},{"key":"ref73","article-title":"An overview of gradient descent optimization algorithms","author":"ruder","year":"2016","journal-title":"arXiv 1609 04747"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3158741"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2021.3122461"},{"key":"ref68","first-page":"1929","article-title":"Dropout: A simple way to prevent neural networks from overfitting","volume":"15","author":"srivastava","year":"2014","journal-title":"J Mach Learn Res"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2019.111356"},{"key":"ref67","first-page":"448","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","author":"ioffe","year":"2015","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-11012-3_10"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2020.2985340"},{"key":"ref69","article-title":"Learning spatial fusion for single-shot object detection","author":"liu","year":"2019","journal-title":"arXiv 1911 09516"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.3034373"},{"key":"ref64","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2014","journal-title":"arXiv 1409 1556"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1179"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2019.10.003"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1142\/S0218488598000094"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejrs.2019.02.001"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00889-5_1"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.3390\/rs12101688"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1080\/2150704X.2016.1163744"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1080\/014311698216062"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS46834.2022.9883982"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.696"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"}],"container-title":["IEEE Transactions on Geoscience and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/36\/10006360\/10151944.pdf?arnumber=10151944","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,7,17]],"date-time":"2023-07-17T17:43:18Z","timestamp":1689615798000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10151944\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":75,"URL":"https:\/\/doi.org\/10.1109\/tgrs.2023.3286113","relation":{},"ISSN":["0196-2892","1558-0644"],"issn-type":[{"value":"0196-2892","type":"print"},{"value":"1558-0644","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]}}}