{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T17:28:09Z","timestamp":1777656489760,"version":"3.51.4"},"reference-count":80,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"10","license":[{"start":{"date-parts":[[2023,10,1]],"date-time":"2023-10-01T00:00:00Z","timestamp":1696118400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,10,1]],"date-time":"2023-10-01T00:00:00Z","timestamp":1696118400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,10,1]],"date-time":"2023-10-01T00:00:00Z","timestamp":1696118400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"National Key Research and Development Program of China","award":["2021YFA0715203"],"award-info":[{"award-number":["2021YFA0715203"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62221002"],"award-info":[{"award-number":["62221002"]}],"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":["62201205"],"award-info":[{"award-number":["62201205"]}],"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":["61890962"],"award-info":[{"award-number":["61890962"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Hunan Natural Science Foundation for Outstanding Young Scholars","award":["2023JJ20014"],"award-info":[{"award-number":["2023JJ20014"]}]},{"name":"CAAI-Huawei MindSpore Open Fund"},{"name":"Key Laboratory of Visual Perception and Artificial Intelligence Fund of Hunan Province","award":["2018TP1013"],"award-info":[{"award-number":["2018TP1013"]}]},{"name":"Changsha Natural Science Foundation of China","award":["kq2202170"],"award-info":[{"award-number":["kq2202170"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Pattern Anal. Mach. Intell."],"published-print":{"date-parts":[[2023,10]]},"DOI":"10.1109\/tpami.2023.3279050","type":"journal-article","created":{"date-parts":[[2023,5,26]],"date-time":"2023-05-26T17:42:52Z","timestamp":1685122972000},"page":"12650-12666","source":"Crossref","is-referenced-by-count":113,"title":["Zero-Shot Hyperspectral Sharpening"],"prefix":"10.1109","volume":"45","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9197-6292","authenticated-orcid":false,"given":"Renwei","family":"Dian","sequence":"first","affiliation":[{"name":"School of Robotics, Hunan University, Changsha, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5228-5410","authenticated-orcid":false,"given":"Anjing","family":"Guo","sequence":"additional","affiliation":[{"name":"School of Robotics, Hunan University, Changsha, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0585-9848","authenticated-orcid":false,"given":"Shutao","family":"Li","sequence":"additional","affiliation":[{"name":"College of Electrical and Information Engineering, Hunan University, Changsha, China"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.193"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3078058"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TCI.2017.2692645"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00168"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2019.00178"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/TCI.2020.3014451"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2920857"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/TCI.2022.3152700"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3101848"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2019.2910990"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.2017.8128408"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00425"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2015.2449668"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2017.2668299"},{"key":"ref17","doi-asserted-by":"crossref","first-page":"3647","DOI":"10.1109\/TNNLS.2017.2736011","article-title":"Learning low-rank decomposition for pan-sharpening with spatial-spectral offsets","volume":"29","author":"yang","year":"2018","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.3015691"},{"key":"ref19","first-page":"339","article-title":"Extracting spectral contrast in landsat thematic mapper image data using selective principal component analysis","volume":"55","author":"chavez","year":"1989","journal-title":"Photogrammetric Eng Remote Sens"},{"key":"ref18","first-page":"459","article-title":"The use of intensity-hue-saturation transformations for merging spot panchromatic and multi-spectral image data","volume":"56","author":"carper","year":"1990","journal-title":"Photogrammetric Eng Remote Sens"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3112181"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.3390\/rs10050800"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2885616"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3176266"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2021.108280"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3114197"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2021.3054338"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2020.2983102"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2916734"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2936486"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2798162"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.3000267"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3084682"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2918932"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2003.1251148"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2873326"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2020.3012566"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2010.2049110"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2020.2965305"},{"key":"ref80","doi-asserted-by":"publisher","DOI":"10.14358\/PERS.74.2.193"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3124240"},{"key":"ref79","doi-asserted-by":"publisher","DOI":"10.1023\/B:VISI.0000029664.99615.94"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3133670"},{"key":"ref78","first-page":"99","article-title":"Quality of high resolution synthesised images: Is there a simple criterion?","author":"wald","year":"2000","journal-title":"Proc Int Conf Fusion Earth Data"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.411"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2019.2908984"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2014.2375320"},{"key":"ref75","first-page":"691","article-title":"Fusion of satellite images of different spatial resolutions: Assessing the quality of resulting images","volume":"63","author":"wald","year":"1997","journal-title":"Photogrammetric Eng Remote Sens"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2016.2542360"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2007.901007"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2005.844293"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.1109\/97.995823"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1561\/2200000016"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2003.819861"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2016.2623626"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2900465"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2836307"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.3049014"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2014.2305441"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2957527"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2004.837009"},{"key":"ref72","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2013.2294476"},{"key":"ref68","first-page":"286","article-title":"Image super-resolution using very deep residual channel attention networks","author":"zhang","year":"2018","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/78.157290"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2017.151"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2013.2253612"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10584-0_5"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1109\/MGRS.2016.2637824"},{"key":"ref20","article-title":"Process for enhancing the spatial resolution of multispectral imagery using pan-sharpening","author":"laben","year":"2000"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1137\/120887795"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1007\/s10107-015-0946-6"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TCOM.1983.1095851"},{"key":"ref66","first-page":"448","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","author":"ioffe","year":"2015","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/34.192463"},{"key":"ref65","first-page":"2089","article-title":"Non-local meets global: An iterative paradigm for hyperspectral image restoration","volume":"44","author":"he","year":"2022","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2014.2381272"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2020.3009830"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2011.2161320"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3217542"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2817393"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.2980398"}],"container-title":["IEEE Transactions on Pattern Analysis and Machine Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/34\/10241246\/10137388.pdf?arnumber=10137388","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,6,6]],"date-time":"2024-06-06T17:11:44Z","timestamp":1717693904000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10137388\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,10]]},"references-count":80,"journal-issue":{"issue":"10"},"URL":"https:\/\/doi.org\/10.1109\/tpami.2023.3279050","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":[[2023,10]]}}}