{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,26]],"date-time":"2026-02-26T23:38:57Z","timestamp":1772149137600,"version":"3.50.1"},"reference-count":60,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"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":["61901198"],"award-info":[{"award-number":["61901198"]}],"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":["62071379"],"award-info":[{"award-number":["62071379"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100007128","name":"Natural Science Foundation of Shaanxi Province","doi-asserted-by":"publisher","award":["2019JQ-377"],"award-info":[{"award-number":["2019JQ-377"]}],"id":[{"id":"10.13039\/501100007128","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100008780","name":"Xi&#x0027;an University of Posts and Telecommunications","doi-asserted-by":"publisher","award":["xyt2016-01"],"award-info":[{"award-number":["xyt2016-01"]}],"id":[{"id":"10.13039\/501100008780","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing"],"published-print":{"date-parts":[[2021]]},"DOI":"10.1109\/jstars.2021.3053567","type":"journal-article","created":{"date-parts":[[2021,1,25]],"date-time":"2021-01-25T22:29:54Z","timestamp":1611613794000},"page":"2494-2507","source":"Crossref","is-referenced-by-count":25,"title":["Hyperspectral Image Classification With Mixed Link Networks"],"prefix":"10.1109","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2364-2749","authenticated-orcid":false,"given":"Zhe","family":"Meng","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3354-9617","authenticated-orcid":false,"given":"Licheng","family":"Jiao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4289-7114","authenticated-orcid":false,"given":"Miaomiao","family":"Liang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0323-9573","authenticated-orcid":false,"given":"Feng","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.3390\/rs10091454"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2860125"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2725580"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2017.2755542"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.3390\/rs9010067"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2016.2584107"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2886022"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/MGRS.2019.2912563"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2837142"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2794326"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.3390\/rs11070884"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2019.102801"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2809606"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2017.11.003"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2918387"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2018.06.020"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2017.2675902"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2016.2636241"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2017.2710079"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2871782"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.3390\/rs11202363"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2016.2543748"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.3390\/rs11030223"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref51","first-page":"448","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","author":"ioffe","year":"0","journal-title":"Proc IEEE Int Conf Mach Learn"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2019.02.019"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2019.2918719"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2016.11.034"},{"key":"ref56","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"0"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/MGRS.2018.2854840"},{"key":"ref54","first-page":"1","article-title":"Network in network","author":"lin","year":"0","journal-title":"Proc IEEE Int Conf Learn Represent"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref52","first-page":"315","article-title":"Deep sparse rectifier neural networks","author":"glorot","year":"0","journal-title":"Proc Int Conf"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2014.2381602"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2017.2729882"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2017.2691906"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2011.2129595"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2915809"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2017.2765364"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2799324"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/3065386"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2876865"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2014.2329330"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/MGRS.2016.2616418"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2018.12.030"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2012.08.029"},{"key":"ref5","first-page":"318","article-title":"Semisupervised hyperspectral image classification using soft sparse multinomial logistic regression","volume":"10","author":"li","year":"2012","journal-title":"IEEE Geosci Remote Sens Lett"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/MGRS.2013.2244672"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2004.831865"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00262"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2004.842478"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.3390\/rs10071068"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/391"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2961681"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.3390\/rs11161896"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2925615"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.3390\/rs11222718"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2018.2873476"},{"key":"ref43","first-page":"4467","article-title":"Dual path networks","author":"chen","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"}],"container-title":["IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/4609443\/9314330\/09335013.pdf?arnumber=9335013","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,12,17]],"date-time":"2021-12-17T19:56:10Z","timestamp":1639770970000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9335013\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":60,"URL":"https:\/\/doi.org\/10.1109\/jstars.2021.3053567","relation":{},"ISSN":["1939-1404","2151-1535"],"issn-type":[{"value":"1939-1404","type":"print"},{"value":"2151-1535","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]}}}