{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,4]],"date-time":"2026-06-04T21:05:32Z","timestamp":1780607132436,"version":"3.54.1"},"reference-count":50,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"8","license":[{"start":{"date-parts":[[2017,8,1]],"date-time":"2017-08-01T00:00:00Z","timestamp":1501545600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"}],"funder":[{"DOI":"10.13039\/501100002383","name":"Deanship of Scientific Research at King Saud University","doi-asserted-by":"publisher","award":["RG-1435-050"],"award-info":[{"award-number":["RG-1435-050"]}],"id":[{"id":"10.13039\/501100002383","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Geosci. Remote Sensing"],"published-print":{"date-parts":[[2017,8]]},"DOI":"10.1109\/tgrs.2017.2692281","type":"journal-article","created":{"date-parts":[[2017,5,2]],"date-time":"2017-05-02T14:20:52Z","timestamp":1493734852000},"page":"4441-4456","source":"Crossref","is-referenced-by-count":167,"title":["Domain Adaptation Network for Cross-Scene Classification"],"prefix":"10.1109","volume":"55","author":[{"given":"Esam","family":"Othman","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9287-0596","authenticated-orcid":false,"given":"Yakoub","family":"Bazi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9745-3732","authenticated-orcid":false,"given":"Farid","family":"Melgani","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Haikel","family":"Alhichri","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Naif","family":"Alajlan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mansour","family":"Zuair","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","first-page":"248","article-title":"ImageNet: A large-scale hierarchical image database","author":"deng","year":"2009","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref38","first-page":"2399","article-title":"Manifold regularization: A geometric framework for learning from labeled and unlabeled examples","volume":"7","author":"belkin","year":"2006","journal-title":"J Mach Learn Res"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2014.2317499"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2012.2200045"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2015.2512999"},{"key":"ref30","doi-asserted-by":"crossref","first-page":"1224","DOI":"10.1109\/LGRS.2012.2236818","article-title":"Learn multiple-kernel SVMs for domain adaptation in hyperspectral data","volume":"10","author":"sun","year":"2013","journal-title":"IEEE Geosci Remote Sens Lett"},{"key":"ref37","first-page":"723","article-title":"A kernel two-sample test","volume":"13","author":"gretton","year":"2012","journal-title":"J Mach Learn Res"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2010.2091281"},{"key":"ref35","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":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2015.2391297"},{"key":"ref28","author":"chatfield","year":"2014","journal-title":"Return of the devil in the details Delving deep into convolutional nets"},{"key":"ref27","first-page":"1097","article-title":"ImageNet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2500224"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2011.6126403"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/1869790.1869829"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2014.01.008"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1126\/science.1127647"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2014.09.003"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/1390156.1390294"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1162\/neco.2006.18.7.1527"},{"key":"ref26","author":"sermanet","year":"2013","journal-title":"Overfeat Integrated Recognition Localization and Detection Using Convolutional Networks"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.231"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1145\/2733373.2807412"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1080\/01431161.2016.1171928"},{"key":"ref11","doi-asserted-by":"crossref","first-page":"14680","DOI":"10.3390\/rs71114680","article-title":"Transferring deep convolutional neural networks for the scene classification of high-resolution remote sensing imagery","volume":"7","author":"hu","year":"2015","journal-title":"Remote Sens"},{"key":"ref40","doi-asserted-by":"crossref","first-page":"437","DOI":"10.1007\/978-3-642-35289-8_26","article-title":"Practical recommendations for gradient-based training of deep architectures","author":"bengio","year":"2012","journal-title":"Neural Networks Tricks of the Trade"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2014.2353635"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2015.03.017"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2015.2446438"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1162\/NECO_a_00682"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2012.2205597"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2014.2345663"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2013.50"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2014.2325029"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2014.2339842"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2014.2351395"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2015.2453130"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2013.2241444"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2015.2488681"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2015.2483680"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-13560-1_76"},{"key":"ref9","first-page":"1","article-title":"Deep learning earth observation classification using imagenet pretrained networks","volume":"13","author":"marmanis","year":"2015","journal-title":"IEEE Geosci Remote Sens Lett"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2015.2444405"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2015.2414178"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.463"},{"key":"ref47","first-page":"1180","article-title":"Unsupervised domain adaptation by backpropagation","author":"yaroslav","year":"2015","journal-title":"Proc ICML"},{"key":"ref42","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":"ref41","first-page":"421","article-title":"Neural networks: Tricks of the trade","author":"montavon","year":"2012","journal-title":"Lecture Notes in Computer Science"},{"key":"ref44","author":"chen","year":"2012","journal-title":"Marginalized denoising autoencoders for domain adaptation"},{"key":"ref43","first-page":"2066","article-title":"Geodesic flow kernel for unsupervised domain adaptation","author":"gong","year":"2012","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"}],"container-title":["IEEE Transactions on Geoscience and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/36\/7987135\/07917346.pdf?arnumber=7917346","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T11:39:41Z","timestamp":1641987581000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7917346\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,8]]},"references-count":50,"journal-issue":{"issue":"8"},"URL":"https:\/\/doi.org\/10.1109\/tgrs.2017.2692281","relation":{},"ISSN":["0196-2892","1558-0644"],"issn-type":[{"value":"0196-2892","type":"print"},{"value":"1558-0644","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,8]]}}}