{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,24]],"date-time":"2026-07-24T14:51:30Z","timestamp":1784904690758,"version":"3.55.0"},"reference-count":70,"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:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61725105"],"award-info":[{"award-number":["61725105"]}],"id":[{"id":"10.13039\/501100001809","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":[[2022]]},"DOI":"10.1109\/jstars.2022.3190699","type":"journal-article","created":{"date-parts":[[2022,7,13]],"date-time":"2022-07-13T19:31:30Z","timestamp":1657740690000},"page":"5689-5703","source":"Crossref","is-referenced-by-count":35,"title":["RFA-Net: Reconstructed Feature Alignment Network for Domain Adaptation Object Detection in Remote Sensing Imagery"],"prefix":"10.1109","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7598-4575","authenticated-orcid":false,"given":"Yangguang","family":"Zhu","sequence":"first","affiliation":[{"name":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0038-9816","authenticated-orcid":false,"given":"Xian","family":"Sun","sequence":"additional","affiliation":[{"name":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3931-3974","authenticated-orcid":false,"given":"Wenhui","family":"Diao","sequence":"additional","affiliation":[{"name":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hao","family":"Li","sequence":"additional","affiliation":[{"name":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0450-6469","authenticated-orcid":false,"given":"Kun","family":"Fu","sequence":"additional","affiliation":[{"name":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2014.10.002"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2019.11.023"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref4","first-page":"1097","article-title":"ImageNet classification with deep convolutional neural networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Krizhevsky","year":"2012"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00832"},{"key":"ref6","first-page":"2844","article-title":"Learning RoI transformer for detecting oriented objects in aerial images","volume-title":"Proc. IEEE\/CVF Conf. Comput. Vis. Pattern Recognit. (CVPR)","author":"Ding","year":"2018"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.3390\/rs10010132"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2021.12.004"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2016.2601622"},{"key":"ref10","article-title":"IENet: Interacting embranchment one stage anchor free detector for orientation aerial object detection","author":"Lin","year":"2019"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2020.09.022"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3068970"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.3018106"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/MGRS.2017.2762307"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2946318"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2015.2503885"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.2985072"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2872850"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2019.2896411"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2019.07.001"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2958123"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2020.07.001"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2021.02.009"},{"issue":"25","key":"ref24","first-page":"723","article-title":"A kernel two-sample test","volume":"13","author":"Gretton","year":"2012","journal-title":"J. Mach. Learn. Res."},{"key":"ref25","first-page":"1180","article-title":"Unsupervised domain adaptation by backpropagation","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Ganin","year":"2015"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3147224"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.3390\/rs13214386"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1080\/01431161.2020.1757782"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.3390\/rs12030575"},{"key":"ref30","article-title":"A simple semi-supervised learning framework for object detection","author":"Sohn","year":"2020"},{"key":"ref31","article-title":"Is attention better than matrix decomposition","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Geng","year":"2021"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.53"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3076664"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2577031"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.l007\/978-3-319-46448-0_2"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.324"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.322"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00972"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2005.177"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2008.4587597"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2020.01.025"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.106"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-009-5152-4"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2018.05.083"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-13560-1_76"},{"key":"ref46","article-title":"Deep domain confusion: Maximizing for domain invariance","author":"Tzeng","year":"2014"},{"key":"ref47","first-page":"97","article-title":"Learning transferable features with deep adaptation networks","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Long","year":"2015"},{"key":"ref48","first-page":"2208","article-title":"Deep transfer learning with joint adaptation networks","volume-title":"Proc. Int. Conf. Mach. Learn","author":"Long","year":"2017"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00107"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00780"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3116348"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.3032528"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00057"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01172"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2018.06.005"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00352"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00078"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00712"},{"key":"ref59","article-title":"SCL: Towards accurate domain adaptive object detection via gradient detach based stacked complementary losses","author":"Shen","year":"2019"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.7015"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00889"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2019.8852008"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2019.00135"},{"key":"ref64","first-page":"29935","article-title":"Data augmentation can improve robustness","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Rebuffi","year":"2021"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW50498.2020.00359"},{"key":"ref66","first-page":"11192","article-title":"Unlabeled data improves adversarial robustness","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Carmon","year":"2019"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1127\/1432-8364\/2010\/0041"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2900302"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref70","article-title":"Very deep convolutional networks for large-scale image recognition","author":"Simonyan","year":"2014"}],"container-title":["IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/4609443\/9656571\/09829266.pdf?arnumber=9829266","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T08:19:08Z","timestamp":1706775548000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9829266\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":70,"URL":"https:\/\/doi.org\/10.1109\/jstars.2022.3190699","relation":{},"ISSN":["1939-1404","2151-1535"],"issn-type":[{"value":"1939-1404","type":"print"},{"value":"2151-1535","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]}}}