{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,18]],"date-time":"2026-01-18T07:08:17Z","timestamp":1768720097477,"version":"3.49.0"},"reference-count":63,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61603159"],"award-info":[{"award-number":["61603159"]}],"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":["62162033"],"award-info":[{"award-number":["62162033"]}],"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":["U21B2027"],"award-info":[{"award-number":["U21B2027"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Yun nan Provincial Major Science and Technology Special Plan Projects","award":["202002AD080001"],"award-info":[{"award-number":["202002AD080001"]}]},{"name":"Yun nan Provincial Major Science and Technology Special Plan Projects","award":["202103AA080015"],"award-info":[{"award-number":["202103AA080015"]}]},{"name":"Yun nan Foundation Research Projects","award":["202101AT070438"],"award-info":[{"award-number":["202101AT070438"]}]},{"name":"Yun nan Foundation Research Projects","award":["202101BE070001-056"],"award-info":[{"award-number":["202101BE070001-056"]}]},{"name":"Qing Lan Project of Higher Education of Jiangsu Province"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing"],"published-print":{"date-parts":[[2023]]},"DOI":"10.1109\/jstars.2022.3225928","type":"journal-article","created":{"date-parts":[[2022,12,1]],"date-time":"2022-12-01T20:46:33Z","timestamp":1669927593000},"page":"419-430","source":"Crossref","is-referenced-by-count":29,"title":["Spatial\u2013Spectral Split Attention Residual Network for Hyperspectral Image Classification"],"prefix":"10.1109","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5737-3383","authenticated-orcid":false,"given":"Zhenqiu","family":"Shu","sequence":"first","affiliation":[{"name":"Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4567-7598","authenticated-orcid":false,"given":"Zigao","family":"Liu","sequence":"additional","affiliation":[{"name":"Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5822-8233","authenticated-orcid":false,"given":"Jun","family":"Zhou","sequence":"additional","affiliation":[{"name":"School of Information and Communication Technology, Griffith University, Nathan, QLD, Australia"}]},{"given":"Songze","family":"Tang","sequence":"additional","affiliation":[{"name":"Department of Criminal Science and Technology, Nanjing Forest Police College, Nanjing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4012-461X","authenticated-orcid":false,"given":"Zhengtao","family":"Yu","sequence":"additional","affiliation":[{"name":"Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0310-5778","authenticated-orcid":false,"given":"Xiao-Jun","family":"Wu","sequence":"additional","affiliation":[{"name":"Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence, Jiangnan University, Wuxi, China"}]}],"member":"263","reference":[{"key":"ref39","article-title":"DFENet for domain adaptation-based remote sensing scene classification","volume":"60","author":"zhang","year":"2021","journal-title":"IEEE Trans Geosci Remote Sens"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3049875"},{"key":"ref33","doi-asserted-by":"crossref","first-page":"331","DOI":"10.1007\/s41095-022-0271-y","volume":"8","author":"guo","year":"2022","journal-title":"Comput Vis Media"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/34.730558"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.3008286"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.3390\/rs12203408"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2019.2955097"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00745"},{"key":"ref35","article-title":"Feedback attention-based dense CNN for hyperspectral image classification","volume":"60","author":"yu","year":"2021","journal-title":"IEEE Trans Geosci Remote Sens"},{"key":"ref34","article-title":"End-to-end multilevel hybrid attention framework for hyperspectral image classification","volume":"19","author":"xiang","year":"2021","journal-title":"IEEE Geosci Remote Sens Lett"},{"key":"ref60","author":"karantzalos","year":"2018","journal-title":"Hyrank hyperspectral satellite dataset I"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.3390\/rs11080963"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2016.2531747"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2021.3053567"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref27","article-title":"Training very deep networks","volume":"28","author":"srivastava","year":"2015","journal-title":"Adv Neural Inf Process Syst"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.3390\/rs11070884"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.314"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/MGRS.2017.2762087"},{"key":"ref20","article-title":"Spectral–Spatial classification of hyperspectral imagery with 3D convolutional neural network","volume":"9","author":"li","year":"2017","journal-title":"Remote Sens"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3202908"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2908756"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2017.2783902"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3149507"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7299173"},{"key":"ref25","first-page":"818","article-title":"Visualizing and understanding convolutional networks","author":"zeiler","year":"0","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2017.2755542"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2020.2995445"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.683"},{"key":"ref58","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"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00060"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2860125"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2921342"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2794326"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2020.3020733"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.3390\/s19235276"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2014.2329330"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1155\/2015\/258619"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2020.3000725"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICIEA.2017.8283123"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2018.2844873"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.2015.7326945"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2016.2584107"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2016.2543748"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2016.2616355"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2017.11.003"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2799324"},{"key":"ref4","first-page":"1777","article-title":"An l 1\/2 regularized low-rank representation for hyperspectral imagery classification","author":"jia","year":"0","journal-title":"Proc IEEE Int Conf Image Process"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2837142"},{"key":"ref6","first-page":"221","article-title":"Support vector machines for hyperspectral remote sensing classification","author":"gualtieri","year":"0","journal-title":"Proc 27th AIPR Workshop Adv Comput -Assist Recognit"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2015.7351186"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.2013.6723195"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.2019.8897862"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2019.11.092"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2016.2636241"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW56347.2022.00309"},{"key":"ref45","article-title":"MixConv: Mixed depthwise convolutional kernels","author":"tan","year":"0","journal-title":"Proc Brit Mach Vis Conf"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.2994057"},{"key":"ref47","first-page":"249","article-title":"Understanding the difficulty of training deep feedforward neural networks","author":"glorot","year":"0","journal-title":"Proc 13th Int Conf Artif Intell Statist"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.308"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.3390\/mi12050545"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v31i1.11231"}],"container-title":["IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/4609443\/9973430\/09968064.pdf?arnumber=9968064","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,16]],"date-time":"2023-01-16T19:10:43Z","timestamp":1673896243000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9968064\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":63,"URL":"https:\/\/doi.org\/10.1109\/jstars.2022.3225928","relation":{},"ISSN":["1939-1404","2151-1535"],"issn-type":[{"value":"1939-1404","type":"print"},{"value":"2151-1535","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]}}}