{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,15]],"date-time":"2026-07-15T16:33:56Z","timestamp":1784133236426,"version":"3.55.0"},"reference-count":81,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"12","license":[{"start":{"date-parts":[[2022,12,1]],"date-time":"2022-12-01T00:00:00Z","timestamp":1669852800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,12,1]],"date-time":"2022-12-01T00:00:00Z","timestamp":1669852800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,12,1]],"date-time":"2022-12-01T00:00:00Z","timestamp":1669852800000},"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":["61772003"],"award-info":[{"award-number":["61772003"]}],"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":["61702083"],"award-info":[{"award-number":["61702083"]}],"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":["12001446"],"award-info":[{"award-number":["12001446"]}],"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":["61876203"],"award-info":[{"award-number":["61876203"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2020YFA0714001"],"award-info":[{"award-number":["2020YFA0714001"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100012551","name":"Key Projects of Applied Basic Research in Sichuan Province","doi-asserted-by":"publisher","award":["2020YJ0216"],"award-info":[{"award-number":["2020YJ0216"]}],"id":[{"id":"10.13039\/100012551","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["JBK2102001"],"award-info":[{"award-number":["JBK2102001"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]},{"name":"MIAI@Grenoble Alpes","award":["ANR- 19-P3IA-0003"],"award-info":[{"award-number":["ANR- 19-P3IA-0003"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Neural Netw. Learning Syst."],"published-print":{"date-parts":[[2022,12]]},"DOI":"10.1109\/tnnls.2021.3084682","type":"journal-article","created":{"date-parts":[[2021,6,9]],"date-time":"2021-06-09T20:38:46Z","timestamp":1623271126000},"page":"7251-7265","source":"Crossref","is-referenced-by-count":213,"title":["Hyperspectral Image Super-Resolution via Deep Spatiospectral Attention Convolutional Neural Networks"],"prefix":"10.1109","volume":"33","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3969-0945","authenticated-orcid":false,"given":"Jin-Fan","family":"Hu","sequence":"first","affiliation":[{"name":"School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7766-230X","authenticated-orcid":false,"given":"Ting-Zhu","family":"Huang","sequence":"additional","affiliation":[{"name":"School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3178-9772","authenticated-orcid":false,"given":"Liang-Jian","family":"Deng","sequence":"additional","affiliation":[{"name":"School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9099-4154","authenticated-orcid":false,"given":"Tai-Xiang","family":"Jiang","sequence":"additional","affiliation":[{"name":"FinTech Innovation Center, Financial Intelligence and Financial Engineering Research Key Laboratory of Sichuan Province, School of Economic Information Engineering, Southwestern University of Finance and Economics, Chengdu, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9542-0638","authenticated-orcid":false,"given":"Gemine","family":"Vivone","sequence":"additional","affiliation":[{"name":"National Research Council&#x2013;Institute of Methodologies for Environmental Analysis, CNR-IMAA, Tito Scalo, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4817-2875","authenticated-orcid":false,"given":"Jocelyn","family":"Chanussot","sequence":"additional","affiliation":[{"name":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.667"},{"key":"ref72","first-page":"3","article-title":"CBAM: Convolutional block attention module","author":"woo","year":"2018","journal-title":"Proc Eur Conf Comput Vis (ECCV)"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2756825"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2957929"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995660"},{"key":"ref77","article-title":"Airborne hyperspectral data over chikusei","author":"yokoya","year":"2016"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2010.2046811"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.2015.7325692"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2015.2458572"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2819501"},{"key":"ref78","first-page":"22","article-title":"Determination of semi-arid landscape endmembers and seasonal trends using convex geometry spectral unmixing techniques","author":"yuhas","year":"1993","journal-title":"Proc 4th Annu JPL Airborne Geosci Workshop"},{"key":"ref79","author":"wald","year":"2002","journal-title":"Data Fusion Definitions and Architectures Fusion of Images of Different Spatial Resolutions"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2018.11.014"},{"key":"ref32","first-page":"1","article-title":"Deep multiscale detail networks for multiband spectral image sharpening","volume":"32","author":"fu","year":"2020","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2020.3030129"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2885616"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2014.2361734"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2839531"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.4208\/eajam.150818.061118"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.2019.8899330"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.3390\/rs11101173"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2014.2376034"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2017.10.007"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/RSIP.2017.7958807"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2015.2496263"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2018.8451049"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2017.2768386"},{"key":"ref65","article-title":"Detail injection-based deep convolutional neural networks for pansharpening","author":"deng","year":"2020","journal-title":"IEEE Trans Geosci Remote Sens"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.207"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2916734"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01237-3_32"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/BigData47090.2019.9006075"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2018.00135"},{"key":"ref2","first-page":"1","article-title":"Regularizing hyperspectral and multispectral image fusion by CNN denoiser","volume":"32","author":"dian","year":"2020","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2020.11.001"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2016.2623626"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2900419"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2018.2794888"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2014.2347072"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2018.11.012"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2014.2316641"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.2012.6351041"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.2017.8128157"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2019.8683893"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.3390\/rs10081290"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.2019.8900390"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2018.05.103"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2017.05.024"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2018.2805923"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.3390\/rs10050800"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.193"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2017.2668299"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2017.2785411"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2928895"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2014.2351754"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2017.2742002"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2007.901007"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/GlobalSIP.2017.8309142"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2015.2440092"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2005.854479"},{"key":"ref81","first-page":"315","article-title":"Deep sparse rectifier neural networks","author":"glorot","year":"2011","journal-title":"Proc Int Conf Artif Intell Statist (AISTATS)"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2836307"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2020.3012566"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2881911"},{"key":"ref80","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2003.819861"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2798162"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00168"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2013.2258355"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2020.2981695"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01051"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2866954"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2017.8297093"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2018.8451733"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2016.2611525"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2957527"},{"key":"ref48","first-page":"1","article-title":"Alternating direction algorithms for constrained sparse regression: Application to hyperspectral unmixing","author":"bioucasdias","year":"2010","journal-title":"Proc Workshop Hyperspectral Image Signal Process Evol Remote Sens"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1007\/BF02289464"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2019.2951572"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2013.2281996"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2020.3000349"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1137\/07070111X"}],"container-title":["IEEE Transactions on Neural Networks and Learning Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5962385\/9966944\/09449622.pdf?arnumber=9449622","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,19]],"date-time":"2022-12-19T19:55:25Z","timestamp":1671479725000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9449622\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12]]},"references-count":81,"journal-issue":{"issue":"12"},"URL":"https:\/\/doi.org\/10.1109\/tnnls.2021.3084682","relation":{},"ISSN":["2162-237X","2162-2388"],"issn-type":[{"value":"2162-237X","type":"print"},{"value":"2162-2388","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,12]]}}}