{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,8]],"date-time":"2026-05-08T07:31:24Z","timestamp":1778225484463,"version":"3.51.4"},"reference-count":51,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"10","license":[{"start":{"date-parts":[[2016,10,1]],"date-time":"2016-10-01T00:00:00Z","timestamp":1475280000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"}],"funder":[{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"crossref","award":["HIT. NSRIF.2013028"],"award-info":[{"award-number":["HIT. NSRIF.2013028"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61301206"],"award-info":[{"award-number":["61301206"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Geosci. Remote Sensing"],"published-print":{"date-parts":[[2016,10]]},"DOI":"10.1109\/tgrs.2016.2584107","type":"journal-article","created":{"date-parts":[[2016,7,19]],"date-time":"2016-07-19T18:02:55Z","timestamp":1468951375000},"page":"6232-6251","source":"Crossref","is-referenced-by-count":2705,"title":["Deep Feature Extraction and Classification of Hyperspectral Images Based on Convolutional Neural Networks"],"prefix":"10.1109","volume":"54","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2421-0996","authenticated-orcid":false,"given":"Yushi","family":"Chen","sequence":"first","affiliation":[]},{"given":"Hanlu","family":"Jiang","sequence":"additional","affiliation":[]},{"given":"Chunyang","family":"Li","sequence":"additional","affiliation":[]},{"given":"Xiuping","family":"Jia","sequence":"additional","affiliation":[]},{"given":"Pedram","family":"Ghamisi","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","first-page":"1","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"0","journal-title":"Proc ICLR"},{"key":"ref38","first-page":"1","article-title":"Going deeper with convolutions","author":"szegedy","year":"0","journal-title":"Proc IEEE CVPR"},{"key":"ref33","first-page":"248","article-title":"ImageNet: A large-scale hierarchical image database","author":"deng","year":"0","journal-title":"Proc CVPR"},{"key":"ref32","author":"lecun","year":"0","journal-title":"The MNIST Database of Handwritten Digits"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2015.2478379"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2015.2388577"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2016.2548241"},{"key":"ref36","first-page":"3371","article-title":"Stacked denoising autoencoders","volume":"11","author":"vincent","year":"2010","journal-title":"J Mach Learn Res"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1162\/neco.2010.08-09-1081"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1162\/neco.2006.18.7.1527"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref27","doi-asserted-by":"crossref","first-page":"504","DOI":"10.1126\/science.1127647","article-title":"Reducing the dimensionality of data with neural networks","volume":"313","author":"hinton","year":"2006","journal-title":"Science"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2014.2329330"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.1968.1054102"},{"key":"ref1","author":"benediktsson","year":"2015","journal-title":"Spectral–Spatial Classification of Hyperspectral Remote Sensing Images"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2008.922034"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2011.2129595"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2012.2205263"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2013.50"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2013.2286953"},{"key":"ref26","first-page":"1106","article-title":"ImageNet classification with deep convolutional neural networks","author":"krizhevsky","year":"0","journal-title":"Proc Neural Inf Process Syst"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.272"},{"key":"ref50","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":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2004.842478"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2013.2279894"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2008.2002952"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.81"},{"key":"ref12","doi-asserted-by":"crossref","first-page":"2319","DOI":"10.1126\/science.290.5500.2319","article-title":"A global geometric framework for nonlinear dimensionality reduction","volume":"290","author":"tenenbaum","year":"2000","journal-title":"Science"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1126\/science.290.5500.2323"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2006.881801"},{"key":"ref15","author":"scholkopf","year":"2002","journal-title":"Learning with kernels"},{"key":"ref16","doi-asserted-by":"crossref","first-page":"1139","DOI":"10.1109\/TGRS.2008.2008308","article-title":"Kernel nonparametric weighted feature extraction for hyperspectral image classification","volume":"47","author":"kuo","year":"2009","journal-title":"IEEE Trans Geosci Remote Sens"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/MLSP.2009.5306202"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2012.2197589"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2010.2047711"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2012.2229082"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/MGRS.2013.2244672"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2011.2153861"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2011.2172185"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2002.804721"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2008.2005729"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2015.2449668"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/36.803413"},{"key":"ref46","doi-asserted-by":"crossref","first-page":"686","DOI":"10.1080\/10705511.2011.607725","article-title":"Analysis of multivariate social science data","volume":"18","author":"bartholomew","year":"2011","journal-title":"Structural Equation Modeling A Multidisciplinary Journal"},{"key":"ref45","first-page":"713","article-title":"Remote sensing: The quantitative approach","volume":"3","author":"hofmann","year":"1981","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1145\/1961189.1961199"},{"key":"ref47","first-page":"1955","article-title":"LLE-PLS nonlinear modeling method for near infrared spectroscopy and its application","volume":"27","author":"yang","year":"2007","journal-title":"Spectrosc Spectral Anal"},{"key":"ref42","first-page":"807","article-title":"Rectified linear units improve restricted Boltzmann machines","author":"nair","year":"0","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.2307\/1267351"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/ICMLA.2013.18"},{"key":"ref43","first-page":"212","article-title":"Improving neural networks by preventing co-adaptation of feature detectors","volume":"3","author":"hinton","year":"2012","journal-title":"Comput Sci"}],"container-title":["IEEE Transactions on Geoscience and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/36\/7542104\/07514991.pdf?arnumber=7514991","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T16:02:55Z","timestamp":1642003375000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7514991\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,10]]},"references-count":51,"journal-issue":{"issue":"10"},"URL":"https:\/\/doi.org\/10.1109\/tgrs.2016.2584107","relation":{},"ISSN":["0196-2892","1558-0644"],"issn-type":[{"value":"0196-2892","type":"print"},{"value":"1558-0644","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016,10]]}}}