{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,14]],"date-time":"2026-04-14T16:19:35Z","timestamp":1776183575399,"version":"3.50.1"},"reference-count":54,"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\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61371152"],"award-info":[{"award-number":["61371152"]}],"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":["61071172"],"award-info":[{"award-number":["61071172"]}],"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":["61374162"],"award-info":[{"award-number":["61374162"]}],"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","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"South Korean National Research Foundation Joint Funded Cooperation Program","award":["61511140292"],"award-info":[{"award-number":["61511140292"]}]},{"DOI":"10.13039\/501100004602","name":"New Century Excellent Talents Award Program from the Ministry of Education of China","doi-asserted-by":"publisher","award":["NCET-12-0464"],"award-info":[{"award-number":["NCET-12-0464"]}],"id":[{"id":"10.13039\/501100004602","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Ministry of Education Scientific Research Foundation for the Returned Overseas"},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"crossref","award":["3102015ZY045"],"award-info":[{"award-number":["3102015ZY045"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100004543","name":"China Scholarship Council for joint Ph.D. students","doi-asserted-by":"publisher","award":["201506290120"],"award-info":[{"award-number":["201506290120"]}],"id":[{"id":"10.13039\/501100004543","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002663","name":"Innovation Foundation of Doctor Dissertation of Northwestern Polytechnical University","doi-asserted-by":"publisher","award":["CX201621"],"award-info":[{"award-number":["CX201621"]}],"id":[{"id":"10.13039\/501100002663","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.2017.2698503","type":"journal-article","created":{"date-parts":[[2017,5,16]],"date-time":"2017-05-16T14:31:08Z","timestamp":1494945068000},"page":"4729-4742","source":"Crossref","is-referenced-by-count":456,"title":["Learning and Transferring Deep Joint Spectral\u2013Spatial Features for Hyperspectral Classification"],"prefix":"10.1109","volume":"55","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1234-0614","authenticated-orcid":false,"given":"Jingxiang","family":"Yang","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6974-7327","authenticated-orcid":false,"given":"Yong-Qiang","family":"Zhao","sequence":"additional","affiliation":[]},{"given":"Jonathan Cheung-Wai","family":"Chan","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.222"},{"key":"ref38","first-page":"188","article-title":"Transfer learning based visual tracking with Gaussian processes regression","author":"gao","year":"2014","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref33","first-page":"92","article-title":"Evaluation of pooling operations in convolutional architectures for object recognition","author":"scherer","year":"2010","journal-title":"Proc Int Conf Artif Neural Netw"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ISCAS.2010.5537907"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2016.01.004"},{"key":"ref30","doi-asserted-by":"crossref","first-page":"99","DOI":"10.3390\/rs8020099","article-title":"Hyperspectral imagery classification using sparse representations of convolutional neural network features","volume":"8","author":"liang","year":"2016","journal-title":"Remote Sens"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2014.2330900"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2009.191"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2014.7026039"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2011.6126474"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2015.2388577"},{"key":"ref27","doi-asserted-by":"crossref","first-page":"2438","DOI":"10.1109\/LGRS.2015.2482520","article-title":"Unsupervised spectral–spatial feature learning with stacked sparse autoencoder for hyperspectral imagery classification","volume":"12","author":"tao","year":"2015","journal-title":"IEEE Geosci Remote Sens Lett"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2016.2517204"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0097910"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2015.04.032"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1126\/science.1127647"},{"key":"ref22","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":"ref21","first-page":"3371","article-title":"Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion","volume":"11","author":"vincent","year":"2010","journal-title":"J Mach Learn Res"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2014.2329330"},{"key":"ref23","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"0"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2016.2543748"},{"key":"ref25","author":"castelluccio","year":"2015","journal-title":"Land use classification in remote sensing images by convolutional neural networks"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1145\/1961189.1961199"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1145\/2647868.2654889"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.14358\/PERS.70.5.627"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2012.2200106"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/MGRS.2016.2548504"},{"key":"ref10","doi-asserted-by":"crossref","first-page":"1118","DOI":"10.1109\/TGRS.2014.2334608","article-title":"Gabor feature-based collaborative representation for hyperspectral imagery classification","volume":"53","author":"jia","year":"2015","journal-title":"IEEE Trans Geosci Remote Sens"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2012.2229082"},{"key":"ref40","first-page":"69","article-title":"Training hierarchical feed-forward visual recognition models using transfer learning from pseudo-tasks","author":"ahmed","year":"2008","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2011.2162339"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2014.2345739"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2015.2498664"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2012.2197860"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2016.2514404"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2015.2478379"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/MGRS.2016.2540798"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1038\/nature14539"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2004.842478"},{"key":"ref3","doi-asserted-by":"crossref","first-page":"172","DOI":"10.3390\/rs8030172","article-title":"Potential of resolution-enhanced hyperspectral data for mineral mapping using simulated EnMAP and Sentinel-2 images","volume":"8","author":"yokoya","year":"2016","journal-title":"Remote Sens"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2012.2230268"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2008.922034"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2011.2129595"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2004.831865"},{"key":"ref49","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":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2012.2209657"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2014.2321557"},{"key":"ref45","first-page":"647","article-title":"DeCAF: A deep convolutional activation feature for generic visual recognition","author":"donahue","year":"2014","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref48","doi-asserted-by":"crossref","first-page":"421","DOI":"10.1007\/978-3-642-35289-8_25","article-title":"Stochastic gradient descent tricks","author":"bottou","year":"2012","journal-title":"Neural Networks Tricks of the Trade"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2015.2489218"},{"key":"ref42","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":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2015.2499239"},{"key":"ref44","first-page":"3320","article-title":"How transferable are features in deep neural networks?","author":"yosinski","year":"2014","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref43","first-page":"3929","article-title":"Transfer learning from deep features for remote sensing and poverty mapping","author":"xie","year":"2016","journal-title":"Proc AAAI Conf Artif Intell"}],"container-title":["IEEE Transactions on Geoscience and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/36\/7987135\/07927776.pdf?arnumber=7927776","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\/7927776\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,8]]},"references-count":54,"journal-issue":{"issue":"8"},"URL":"https:\/\/doi.org\/10.1109\/tgrs.2017.2698503","relation":{},"ISSN":["0196-2892","1558-0644"],"issn-type":[{"value":"0196-2892","type":"print"},{"value":"1558-0644","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,8]]}}}