{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,27]],"date-time":"2026-03-27T16:51:07Z","timestamp":1774630267801,"version":"3.50.1"},"reference-count":67,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"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":["61976002"],"award-info":[{"award-number":["61976002"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61976003"],"award-info":[{"award-number":["61976003"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61860206004"],"award-info":[{"award-number":["61860206004"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U20B2068"],"award-info":[{"award-number":["U20B2068"]}],"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":[[2022]]},"DOI":"10.1109\/tgrs.2021.3113581","type":"journal-article","created":{"date-parts":[[2021,9,29]],"date-time":"2021-09-29T20:56:42Z","timestamp":1632949002000},"page":"1-14","source":"Crossref","is-referenced-by-count":25,"title":["Entropy Guided Adversarial Domain Adaptation for Aerial Image Semantic Segmentation"],"prefix":"10.1109","volume":"60","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9820-4743","authenticated-orcid":false,"given":"Aihua","family":"Zheng","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0512-637X","authenticated-orcid":false,"given":"Ming","family":"Wang","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7233-2739","authenticated-orcid":false,"given":"Chenglong","family":"Li","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8375-3590","authenticated-orcid":false,"given":"Jin","family":"Tang","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1414-3307","authenticated-orcid":false,"given":"Bin","family":"Luo","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref1","article-title":"A review on deep learning techniques applied to semantic segmentation","volume-title":"arXiv:1704.06857","author":"Garcia-Garcia","year":"2017"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6248074"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.299"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.3390\/rs3081777"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1175\/BAMS-D-11-00019.1"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.3390\/rs9030252"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2850972"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2644615"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.660"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2699184"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2017.2778181"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2018.2810320"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2017.2763738"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.535"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.203"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298780"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.191"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2848725"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46475-6_7"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.352"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-009-5152-4"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2018.05.083"},{"key":"ref26","first-page":"97","article-title":"Learning transferable features with deep adaptation networks","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Long"},{"key":"ref27","first-page":"2208","article-title":"Deep transfer learning with joint adaptation networks","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Long"},{"key":"ref28","first-page":"1180","article-title":"Unsupervised domain adaptation by backpropagation","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Ganin"},{"key":"ref29","article-title":"FCNs in the wild: Pixel-level adversarial and constraint-based adaptation","volume-title":"arXiv:1612.02649","author":"Hoffman","year":"2016"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.18"},{"key":"ref31","first-page":"1989","article-title":"CyCADA: Cycle-consistent adversarial domain adaptation","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Hoffman"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00392"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00780"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00261"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01219-9_18"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00608"},{"key":"ref37","article-title":"ESL: Entropy-guided self-supervised learning for domain adaptation in semantic segmentation","author":"Saporta","year":"2020","journal-title":"arXiv:2006.08658"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.244"},{"key":"ref39","article-title":"Semantic-aware grad-GAN for virtual-to-real urban scene adaption","volume-title":"arXiv:1801.01726","author":"Li","year":"2018"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01228-1_32"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.3156\/jsoft.29.5_177_2"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00395"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00710"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00189"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.223"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00262"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.3390\/rs11111369"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.3390\/app10031092"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.2980417"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.3390\/rs11222631"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.3390\/rs9050446"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.3390\/rs11161922"},{"key":"ref53","article-title":"Fully convolutional networks for dense semantic labelling of high-resolution aerial imagery","volume-title":"arXiv:1606.02585","author":"Sherrah","year":"2016"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2750680"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2018.2795531"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.3390\/rs10091339"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.3390\/rs11010083"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.2979552"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2020\/150"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00897"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1002\/j.1538-7305.1948.tb01338.x"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref63","article-title":"Unsupervised representation learning with deep convolutional generative adversarial networks","volume-title":"arXiv:1511.06434","author":"Radford","year":"2015"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-7908-2604-3_16"},{"key":"ref65","article-title":"Adam: A method for stochastic optimization","volume-title":"arXiv:1412.6980","author":"Kingma","year":"2014"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.350"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1007\/s10479-011-0841-3"}],"container-title":["IEEE Transactions on Geoscience and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/36\/9633014\/09552486.pdf?arnumber=9552486","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,11]],"date-time":"2024-01-11T22:21:20Z","timestamp":1705011680000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9552486\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":67,"URL":"https:\/\/doi.org\/10.1109\/tgrs.2021.3113581","relation":{},"ISSN":["0196-2892","1558-0644"],"issn-type":[{"value":"0196-2892","type":"print"},{"value":"1558-0644","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]}}}