{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,3]],"date-time":"2026-03-03T16:20:55Z","timestamp":1772554855635,"version":"3.50.1"},"reference-count":69,"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\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2021YFB3900503"],"award-info":[{"award-number":["2021YFB3900503"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Geosci. Remote Sensing"],"published-print":{"date-parts":[[2023]]},"DOI":"10.1109\/tgrs.2023.3281420","type":"journal-article","created":{"date-parts":[[2023,5,30]],"date-time":"2023-05-30T17:22:19Z","timestamp":1685467339000},"page":"1-17","source":"Crossref","is-referenced-by-count":14,"title":["A Multilevel-Guided Curriculum Domain Adaptation Approach to Semantic Segmentation for High-Resolution Remote Sensing Images"],"prefix":"10.1109","volume":"61","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6508-0983","authenticated-orcid":false,"given":"Zhihao","family":"Xi","sequence":"first","affiliation":[{"name":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4267-8306","authenticated-orcid":false,"given":"Xiangyu","family":"He","sequence":"additional","affiliation":[{"name":"Engineering Quality Supervision Center, Logistics Support Department, Military Commission, Beijing, China"}]},{"given":"Yu","family":"Meng","sequence":"additional","affiliation":[{"name":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7765-5983","authenticated-orcid":false,"given":"Anzhi","family":"Yue","sequence":"additional","affiliation":[{"name":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China"}]},{"given":"Jingbo","family":"Chen","sequence":"additional","affiliation":[{"name":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8396-0338","authenticated-orcid":false,"given":"Yupeng","family":"Deng","sequence":"additional","affiliation":[{"name":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China"}]},{"given":"Jiansheng","family":"Chen","sequence":"additional","affiliation":[{"name":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2020.3010591"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1017\/S1047951100000925"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3152587"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01223"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3198972"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW54120.2021.00331"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/WACV48630.2021.00221"},{"key":"ref58","first-page":"4555","article-title":"A survey on curriculum learning","volume":"44","author":"wang","year":"2022","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58574-7_25"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01219-9_18"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2020.07.001"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00969"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2021.08.018"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/WACV48630.2021.00142"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS47720.2021.9554806"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.2980417"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.3390\/rs15051428"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.3006161"},{"key":"ref51","first-page":"1180","article-title":"Unsupervised domain adaptation by backpropagation","author":"ganin","year":"2015","journal-title":"Proc 32nd Int Conf Mach Learn (ICML)"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00414"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3144165"},{"key":"ref45","article-title":"SegFormer: Simple and efficient design for semantic segmentation with transformers","author":"xie","year":"2021","journal-title":"arXiv 2105 15203"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1145\/3454127.3456610"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3144894"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref41","first-page":"1","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2015","journal-title":"Proc 3rd Int Conf Learn Represent (ICLR)"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01007"},{"key":"ref43","first-page":"10691","article-title":"EfficientNet: Rethinking model scaling for convolutional neural networks","author":"tan","year":"2019","journal-title":"Proc 36th Int Conf Mach Learn (ICML)"},{"key":"ref49","article-title":"Domain adaptation on semantic segmentation with separate affine transformation in batch normalization","author":"yan","year":"2021","journal-title":"arXiv 2110 07376"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00532"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58568-6_38"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19827-4_22"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICCC47050.2019.9064236"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1002\/rse2.194"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2020.01.013"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2018.00034"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2021.09.005"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2021.05.004"},{"key":"ref34","article-title":"High-resolution representations for labeling pixels and regions","author":"sun","year":"2019","journal-title":"arXiv 1904 04514"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2017.12.007"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3093977"},{"key":"ref31","first-page":"833","article-title":"Encoder&#x2013;decoder with atrous separable convolution for semantic image segmentation","volume":"11211","author":"chen","year":"2018","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref30","article-title":"Rethinking atrous convolution for semantic image segmentation","author":"chen","year":"2017","journal-title":"arXiv 1706 05587"},{"key":"ref33","first-page":"3141","article-title":"Dual attention network for scene segmentation","author":"fu","year":"2019","journal-title":"Proc IEEE Comput Soc Conf Comput Vis Pattern Recognit"},{"key":"ref32","first-page":"234","article-title":"U-Net: Convolutional networks for biomedical image segmentation","volume":"9351","author":"ronneberger","year":"2015","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2020.09.019"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.2019.8899293"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3050885"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3095056"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3140108"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.3031926"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3104032"},{"key":"ref67","article-title":"Bispace domain adaptation network for remotely sensed semantic segmentation","volume":"60","author":"liu","year":"2022","journal-title":"IEEE Trans Geosci Remote Sens"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00780"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3200246"},{"key":"ref69","article-title":"UMAP: Uniform manifold approximation and projection for dimension reduction","author":"mcinnes","year":"2018","journal-title":"arXiv 1802 03426"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.3020804"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2017.2740362"},{"key":"ref63","year":"2019","journal-title":"High Resolution Visible Image Fine Annotation Dataset"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2021.02.009"},{"key":"ref66","first-page":"1","article-title":"Decoupled weight decay regularization","author":"loshchilov","year":"2019","journal-title":"Proc 7th Int Conf Learn Represent (ICLR)"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2022.3157032"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2018.01.021"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01270"},{"key":"ref27","first-page":"2579","article-title":"Visualizing data using t-SNE","volume":"9","author":"van der maaten","year":"2008","journal-title":"J Mach Learn Res"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2699184"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3117851"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.223"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00686"}],"container-title":["IEEE Transactions on Geoscience and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/36\/10006360\/10138603.pdf?arnumber=10138603","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,7,18]],"date-time":"2023-07-18T17:38:05Z","timestamp":1689701885000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10138603\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":69,"URL":"https:\/\/doi.org\/10.1109\/tgrs.2023.3281420","relation":{},"ISSN":["0196-2892","1558-0644"],"issn-type":[{"value":"0196-2892","type":"print"},{"value":"1558-0644","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]}}}