{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,26]],"date-time":"2026-02-26T15:28:22Z","timestamp":1772119702181,"version":"3.50.1"},"reference-count":63,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["41701479"],"award-info":[{"award-number":["41701479"]}],"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":["62071084"],"award-info":[{"award-number":["62071084"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Heilongjiang Science Foundation Project of China","award":["LH2021D022"],"award-info":[{"award-number":["LH2021D022"]}]},{"name":"Fundamental Research Funds in Heilongjiang Provincial Universities of China","award":["135509136"],"award-info":[{"award-number":["135509136"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Geosci. Remote Sensing"],"published-print":{"date-parts":[[2022]]},"DOI":"10.1109\/tgrs.2022.3174015","type":"journal-article","created":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T19:34:57Z","timestamp":1652211297000},"page":"1-16","source":"Crossref","is-referenced-by-count":29,"title":["Hyperspectral Image Classification Based on Expansion Convolution Network"],"prefix":"10.1109","volume":"60","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5877-1762","authenticated-orcid":false,"given":"Cuiping","family":"Shi","sequence":"first","affiliation":[{"name":"Department of Communication Engineering, Qiqihar University, Qiqihar, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Diling","family":"Liao","sequence":"additional","affiliation":[{"name":"Department of Communication Engineering, Qiqihar University, Qiqihar, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tianyu","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Communication Engineering, Qiqihar University, Qiqihar, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9373-6233","authenticated-orcid":false,"given":"Liguo","family":"Wang","sequence":"additional","affiliation":[{"name":"College of Information and Communication Engineering, Dalian Nationalities University, Dalian, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2019.2915272"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2725580"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2799324"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2017.2655516"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2014.7026039"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2860125"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2017.2755542"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.1968.1054102"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.3390\/rs12030582"},{"key":"ref62","first-page":"625","article-title":"Why does unsupervised pre-training help deep learning?","volume":"11","author":"erhan","year":"2010","journal-title":"J Mach Learn Res"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2021.3067348"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.3390\/electronics8030292"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/MGRS.2020.2979764"},{"key":"ref27","first-page":"127","article-title":"Joint learning of words and meaning representations for open-text semantic parsing","author":"bordes","year":"2012","journal-title":"Proc Int Conf Art Intell Stat"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2017.2737823"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2016.2646420"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2015.04.032"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2011.2129595"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2017.2664480"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2014.2318058"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2017.2691906"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2016.2603190"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2007.07.028"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2017.2768479"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2019.2960528"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2805286"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00326"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.3390\/rs11111307"},{"key":"ref57","article-title":"CBAM: Convolutional module attention module","author":"woo","year":"2018","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01155"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00745"},{"key":"ref54","first-page":"5998","article-title":"Attention is all you need","author":"vaswani","year":"2017","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3130716"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3052048"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2010.2081677"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2013.07.005"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.2018.8517816"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2011.2172185"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2011.2153861"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2008.2005729"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/MGRS.2018.2854840"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2017.2765364"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2004.842478"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2005.857031"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2011.03.035"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2836307"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.3390\/rs8030172"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/MGRS.2017.2762087"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2825457"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2010.2060550"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2004.831865"},{"key":"ref49","article-title":"Multi-scale context aggregation by dilated convolutions","author":"yu","year":"2015","journal-title":"arXiv 1511 07122"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2011.2162649"},{"key":"ref46","article-title":"LiteDenseNet: A lightweight network for hyperspectral image classification","author":"li","year":"2020","journal-title":"arXiv 2004 08112"},{"key":"ref45","article-title":"Hyperspectral classification based on 3D asymmetric inception network with data fusion transfer learning","author":"zhang","year":"2020","journal-title":"arXiv 2002 04227"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2837142"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3062372"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2019.2918719"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/SPAWDA.2019.8681842"},{"key":"ref44","first-page":"1","article-title":"Attention-based adaptive spectral&#x2013;spatial kernel ResNet for hyperspectral image classification","volume":"59","author":"roy","year":"2020","journal-title":"IEEE Trans Geosci Remote Sens"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2021.3053567"}],"container-title":["IEEE Transactions on Geoscience and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/36\/9633014\/09771470.pdf?arnumber=9771470","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,13]],"date-time":"2022-06-13T20:45:00Z","timestamp":1655153100000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9771470\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":63,"URL":"https:\/\/doi.org\/10.1109\/tgrs.2022.3174015","relation":{},"ISSN":["0196-2892","1558-0644"],"issn-type":[{"value":"0196-2892","type":"print"},{"value":"1558-0644","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]}}}