{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,19]],"date-time":"2026-03-19T05:33:02Z","timestamp":1773898382622,"version":"3.50.1"},"reference-count":49,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"4","license":[{"start":{"date-parts":[[2019,4,1]],"date-time":"2019-04-01T00:00:00Z","timestamp":1554076800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,4,1]],"date-time":"2019-04-01T00:00:00Z","timestamp":1554076800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,4,1]],"date-time":"2019-04-01T00:00:00Z","timestamp":1554076800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61871306"],"award-info":[{"award-number":["61871306"]}],"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":["61772400"],"award-info":[{"award-number":["61772400"]}],"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":["61773304"],"award-info":[{"award-number":["61773304"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002858","name":"China Postdoctoral Science Foundation","doi-asserted-by":"publisher","award":["2015M570816"],"award-info":[{"award-number":["2015M570816"]}],"id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002858","name":"China Postdoctoral Science Foundation","doi-asserted-by":"publisher","award":["2016T90892"],"award-info":[{"award-number":["2016T90892"]}],"id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science of China","doi-asserted-by":"crossref","award":["61836009"],"award-info":[{"award-number":["61836009"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Open Research Fund of Key Laboratory of Spectral Imaging Technology, Chinese Academy of Sciences","award":["LSIT201803D"],"award-info":[{"award-number":["LSIT201803D"]}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"crossref","award":["JBX181707"],"award-info":[{"award-number":["JBX181707"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Postdoctoral Research Program in Shaanxi Province of China"},{"name":"Joint Fund of the Equipment Research of Ministry of Education"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing"],"published-print":{"date-parts":[[2019,4]]},"DOI":"10.1109\/jstars.2019.2900705","type":"journal-article","created":{"date-parts":[[2019,3,13]],"date-time":"2019-03-13T19:09:17Z","timestamp":1552504157000},"page":"1299-1313","source":"Crossref","is-referenced-by-count":85,"title":["CNN-Based Multilayer Spatial\u2013Spectral Feature Fusion and Sample Augmentation With Local and Nonlocal Constraints for Hyperspectral Image Classification"],"prefix":"10.1109","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8032-7542","authenticated-orcid":false,"given":"Jie","family":"Feng","sequence":"first","affiliation":[]},{"given":"Jiantong","family":"Chen","sequence":"additional","affiliation":[]},{"given":"Liguo","family":"Liu","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0997-4664","authenticated-orcid":false,"given":"Xianghai","family":"Cao","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0379-2042","authenticated-orcid":false,"given":"Xiangrong","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Licheng","family":"Jiao","sequence":"additional","affiliation":[]},{"given":"Tao","family":"Yu","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"crossref","first-page":"1330","DOI":"10.3390\/rs9121330","article-title":"Bidirectional-convolutional LSTM based spectral-spatial feature learning for hyperspectral image classification","volume":"9","author":"liu","year":"2017","journal-title":"Remote Sens"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1049\/iet-ipr.2017.1375"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2016.2608963"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.2016.7730324"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2016.2584107"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1080\/2150704X.2017.1280200"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1117\/1.JRS.12.026028"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2827407"},{"key":"ref35","doi-asserted-by":"crossref","DOI":"10.3390\/rs9030298","article-title":"Convolutional recurrent neural networks for hyperspectral data classification","volume":"9","author":"wu","year":"2017","journal-title":"Remote Sens"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2016.2616355"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1155\/2015\/258619"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2015.2388577"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2725580"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2016.12.009"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1002\/0470124628"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2010.2060550"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2011.2129595"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2004.831865"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2014.09.003"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2014.2381602"},{"key":"ref26","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":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2014.2329330"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2008.2005729"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2011.2165957"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2005.38"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2006.888105"},{"key":"ref13","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":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2014.2306689"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1155\/2009\/783194"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2011.2128854"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2011.2157166"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2017.2769113"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.2016.7730609"},{"key":"ref4","first-page":"1","article-title":"Hyperspectral mapping of ancient hydrothermal systems and applications for mars","author":"brown","year":"0","journal-title":"Proc AGU Fall Meeting Abstr"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1080\/08120090500134530"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.jag.2003.09.001"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2015.2406339"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2017.2743102"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2012.2229082"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2017.11.003"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2011.2153861"},{"key":"ref46","article-title":"TensorFlow: Large-scale machine learning on heterogeneous systems","author":"abadi","year":"2015"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298642"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2017.2755542"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2012.2232904"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2018.2856741"},{"key":"ref41","article-title":"Network in network","author":"lin","year":"2007","journal-title":"Hyperspectral Data Exploitation Theory and Applications"},{"key":"ref44","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":"ref43","first-page":"448","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","author":"ioffe","year":"0","journal-title":"Proc Int Conf Mach Learn"}],"container-title":["IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/4609443\/8686367\/08667086.pdf?arnumber=8667086","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,13]],"date-time":"2022-07-13T21:13:43Z","timestamp":1657746823000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8667086\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,4]]},"references-count":49,"journal-issue":{"issue":"4"},"URL":"https:\/\/doi.org\/10.1109\/jstars.2019.2900705","relation":{},"ISSN":["1939-1404","2151-1535"],"issn-type":[{"value":"1939-1404","type":"print"},{"value":"2151-1535","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,4]]}}}