{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,18]],"date-time":"2026-07-18T22:10:58Z","timestamp":1784412658458,"version":"3.55.0"},"reference-count":64,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"3","license":[{"start":{"date-parts":[[2022,3,1]],"date-time":"2022-03-01T00:00:00Z","timestamp":1646092800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,3,1]],"date-time":"2022-03-01T00:00:00Z","timestamp":1646092800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,3,1]],"date-time":"2022-03-01T00:00:00Z","timestamp":1646092800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2018YFB1004300"],"award-info":[{"award-number":["2018YFB1004300"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"name":"China NSFC","award":["11690011"],"award-info":[{"award-number":["11690011"]}]},{"name":"China NSFC","award":["61721002"],"award-info":[{"award-number":["61721002"]}]},{"name":"China NSFC","award":["U1811461"],"award-info":[{"award-number":["U1811461"]}]},{"name":"China NSFC","award":["61773367"],"award-info":[{"award-number":["61773367"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Pattern Anal. Mach. Intell."],"published-print":{"date-parts":[[2022,3,1]]},"DOI":"10.1109\/tpami.2020.3015691","type":"journal-article","created":{"date-parts":[[2020,8,11]],"date-time":"2020-08-11T22:27:21Z","timestamp":1597184841000},"page":"1457-1473","source":"Crossref","is-referenced-by-count":247,"title":["MHF-Net: An Interpretable Deep Network for Multispectral and Hyperspectral Image Fusion"],"prefix":"10.1109","volume":"44","author":[{"given":"Qi","family":"Xie","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Minghao","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qian","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zongben","family":"Xu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1294-8283","authenticated-orcid":false,"given":"Deyu","family":"Meng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2007.901007"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10584-0_5"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1137\/080716542"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2012.2194696"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/b978-0-08-051581-6.50065-9"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.2964627"},{"issue":"3","key":"ref7","first-page":"295","article-title":"Comparison of three different methods to merge multiresolution and multispectral data- landsat TM and spot panchromatic","volume":"57","author":"Chavez","year":"1991","journal-title":"Photogrammetric Eng. Remote Sens."},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2014.2305441"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2439281"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2873610"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/18.382009"},{"key":"ref12","article-title":"A guide to convolution arithmetic for deep learning","author":"Dumoulin","year":"2016"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2012.2197589"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1117\/12.428249"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.2013.6723732"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2013.2253612"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2013.6475015"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995457"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.409"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2836307"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2019.2917584"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2019.2898574"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1080\/014311600750037499"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/MGRS.2015.2440094"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/79.974724"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.3390\/rs8070594"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/WHISPERS.2011.6080864"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.acha.2007.03.006"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2016.2528339"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2013.2257669"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2017.2668299"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00266"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/RSIP.2017.7958807"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2817393"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2015.2440092"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2018.2805923"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2006.887733"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.4324\/9781410605337-29"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCB.2009.2037132"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.5244\/C.27.57"},{"key":"ref42","volume-title":"Data Fusion: Definitions and Architectures: Fusion of Images of Different Spatial Resolutions","author":"Wald","year":"2002"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00822"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2003.819861"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/MFI.2016.7849461"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2015.2458572"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2017.2736020"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2734888"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00168"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01234-2_43"},{"key":"ref51","first-page":"10","article-title":"Deep ADMM-net for compressive sensing MRI","volume-title":"Proc. Advances Neural Inf. Process. Syst.","author":"Yang"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2010.2046811"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/MGRS.2016.2637824"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.2011.6049465"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2732350"},{"key":"ref56","first-page":"1690","article-title":"Variational denoising network: Toward blind noise modeling and removal","volume-title":"Proc. Advances Neural Inf. Process. Syst.","author":"Yue"},{"key":"ref57","article-title":"Determination of semi-arid landscape endmembers and seasonal trends using convex geometry spectral unmixing techniques","author":"Yuhas","year":"1993"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/GEOINFORMATICS.2010.5568105"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00196"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2011.2109730"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2009.2017737"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.2015.7326172"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1186\/1687-6180-2011-87"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.737"}],"container-title":["IEEE Transactions on Pattern Analysis and Machine Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/34\/9703108\/09165231.pdf?arnumber=9165231","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,10]],"date-time":"2024-01-10T00:21:32Z","timestamp":1704846092000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9165231\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,3,1]]},"references-count":64,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.1109\/tpami.2020.3015691","relation":{},"ISSN":["0162-8828","2160-9292","1939-3539"],"issn-type":[{"value":"0162-8828","type":"print"},{"value":"2160-9292","type":"electronic"},{"value":"1939-3539","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,3,1]]}}}