{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,18]],"date-time":"2026-07-18T04:40:49Z","timestamp":1784349649929,"version":"3.55.0"},"reference-count":53,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/100000266","name":"National Geospatial-Intelligence Agency","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000266","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":[[2021]]},"DOI":"10.1109\/jstars.2021.3119001","type":"journal-article","created":{"date-parts":[[2021,10,10]],"date-time":"2021-10-10T22:57:49Z","timestamp":1633906669000},"page":"10468-10483","source":"Crossref","is-referenced-by-count":18,"title":["ReSFlow: A Remote Sensing Imagery Data-Flow for Improved Model Generalization"],"prefix":"10.1109","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0054-1141","authenticated-orcid":false,"given":"Dalton","family":"Lunga","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1097-0428","authenticated-orcid":false,"given":"Jacob","family":"Arndt","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2141-7038","authenticated-orcid":false,"given":"Jonathan","family":"Gerrand","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Robert","family":"Stewart","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.2017.8127684"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2016.2612821"},{"key":"ref33","article-title":"Optimization as a model for few-shot learning","author":"ravi","year":"2017","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref32","first-page":"1842","article-title":"Meta-learning with memory-augmented neural networks","volume":"48","author":"santoro","year":"2016","journal-title":"Proc 33rd Int Conf Mach Learn"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4615-5529-2_1"},{"key":"ref30","article-title":"On the optimization of a synaptic learning rule","author":"bengio","year":"1997"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219924"},{"key":"ref36","first-page":"210","author":"mnih","year":"2010","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref35","first-page":"1","article-title":"Building high resolution maps for humanitarian aid and development with weakly- and semi-supervised learning","author":"bonafilia","year":"2019","journal-title":"Proc Conf Comput Vis Pattern Recognit"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2913442"},{"key":"ref28","article-title":"Evolutionary principles in self-referential learning. on learning now to learn: The meta-meta-meta...-hook","author":"schmidhuber","year":"1987"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.3043191"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.1992.287172"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098070"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219924"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2021.3105421"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.3390\/rs10081243"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2829166"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2021.3114404"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2021.3112469"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.3006161"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2021.3109237"},{"key":"ref50","first-page":"234","article-title":"U-Net: Convolutional networks for biomedical image segmentation","author":"ronneberger","year":"2015","journal-title":"Proc Int Conf Med Image Comput Comput -Assist Interv"},{"key":"ref51","first-page":"2881","article-title":"Pyramid scene parsing network","author":"zhao","year":"2016","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref53","first-page":"630","article-title":"Identity mappings in deep residual networks","author":"he","year":"2016","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2018.00041"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2946318"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2906689"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.3027387"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2019.2959707"},{"key":"ref14","first-page":"234","article-title":"U-Net: Convolutional networks for biomedical image segmentation","author":"ronneberger","year":"2015","journal-title":"Proc Med Image Comput Comput - Assist Interv"},{"key":"ref15","article-title":"Deep representation learning in speech processing: Challenges, recent advances, and future trends","author":"latif","year":"2020"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2019.04.015"},{"key":"ref17","first-page":"567","article-title":"Learning to label aerial images from noisy data","author":"mnih","year":"2012","journal-title":"Proc 29th Int Conf Mach Learn"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/MPRV.2008.80"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/COMGEO.2013.4"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/s10708-007-9105-9"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298737"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.3031926"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2018.2795753"},{"key":"ref8","first-page":"24","article-title":"Comparative spatial analysis of positional accuracy of OpenStreetMap and proprietary geodata","author":"helbich","year":"2012","journal-title":"Proc GI_Forum"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2018.2861006"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijar.2008.11.006"},{"key":"ref9","first-page":"1126","volume":"70","author":"finn","year":"2017","journal-title":"Proc 34th Int Conf Mach Learn"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2020.2974629"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00108"},{"key":"ref48","article-title":"KModes categorical clustering library","author":"de vos","year":"2015"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2666812"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1016\/B978-012369407-2\/50005-X"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2018.2835377"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2011.2165548"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2013.2295819"}],"container-title":["IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"],"original-title":[],"link":[{"URL":"https:\/\/ieeexplore.ieee.org\/ielam\/4609443\/9314330\/9565349-aam.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/4609443\/9314330\/09565349.pdf?arnumber=9565349","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,4,8]],"date-time":"2022-04-08T18:52:19Z","timestamp":1649443939000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9565349\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":53,"URL":"https:\/\/doi.org\/10.1109\/jstars.2021.3119001","relation":{},"ISSN":["1939-1404","2151-1535"],"issn-type":[{"value":"1939-1404","type":"print"},{"value":"2151-1535","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]}}}