{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T17:53:28Z","timestamp":1775066008777,"version":"3.50.1"},"reference-count":69,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"5","license":[{"start":{"date-parts":[[2021,5,1]],"date-time":"2021-05-01T00:00:00Z","timestamp":1619827200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,5,1]],"date-time":"2021-05-01T00:00:00Z","timestamp":1619827200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,5,1]],"date-time":"2021-05-01T00:00:00Z","timestamp":1619827200000},"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":["81671766"],"award-info":[{"award-number":["81671766"]}],"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":["81671674"],"award-info":[{"award-number":["81671674"]}],"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":["61671309"],"award-info":[{"award-number":["61671309"]}],"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":["61901433"],"award-info":[{"award-number":["61901433"]}],"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":["U1605252"],"award-info":[{"award-number":["U1605252"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["20720160075"],"award-info":[{"award-number":["20720160075"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["20720180059"],"award-info":[{"award-number":["20720180059"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]},{"name":"CCF-Tencent Open Fund"},{"DOI":"10.13039\/501100003392","name":"Natural Science Foundation of Fujian Province of China","doi-asserted-by":"publisher","award":["2017J01126"],"award-info":[{"award-number":["2017J01126"]}],"id":[{"id":"10.13039\/501100003392","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Neural Netw. Learning Syst."],"published-print":{"date-parts":[[2021,5]]},"DOI":"10.1109\/tnnls.2020.2996498","type":"journal-article","created":{"date-parts":[[2020,6,2]],"date-time":"2020-06-02T20:19:48Z","timestamp":1591129188000},"page":"2090-2104","source":"Crossref","is-referenced-by-count":128,"title":["Deep Multiscale Detail Networks for Multiband Spectral Image Sharpening"],"prefix":"10.1109","volume":"32","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8036-4071","authenticated-orcid":false,"given":"Xueyang","family":"Fu","sequence":"first","affiliation":[]},{"given":"Wu","family":"Wang","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3913-9400","authenticated-orcid":false,"given":"Yue","family":"Huang","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2288-5287","authenticated-orcid":false,"given":"Xinghao","family":"Ding","sequence":"additional","affiliation":[]},{"given":"John","family":"Paisley","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00262"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.182"},{"key":"ref33","first-page":"341","article-title":"Image denoising and inpainting with deep neural networks","author":"xie","year":"2012","journal-title":"Proc NIPS"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.2968521"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2016.2552640"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2015.2435783"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00168"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2798162"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2691802"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2662206"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.409"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2885616"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2016.2542360"},{"key":"ref63","doi-asserted-by":"crossref","first-page":"1582","DOI":"10.1109\/TNNLS.2014.2339222","article-title":"Dimensionality reduction for hyperspectral data based on class-aware tensor neighborhood graph and patch alignment","volume":"26","author":"gao","year":"2015","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"ref28","doi-asserted-by":"crossref","first-page":"2030","DOI":"10.1109\/TNNLS.2014.2302898","article-title":"Single-trial classification of event-related potentials in rapid serial visual presentation tasks using supervised spatial filtering","volume":"25","author":"eckstein","year":"2014","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2017.2742528"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2799324"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2015.2477537"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2013.2293061"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2015.2506664"},{"key":"ref67","first-page":"2672","article-title":"Generative adversarial nets","author":"goodfellow","year":"2014","journal-title":"Proc NuerIPS"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.19"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.186"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.3390\/rs8070594"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2014.2376034"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2013.2258355"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2014.2316641"},{"key":"ref21","first-page":"176","article-title":"Pan-sharpening with a Bayesian nonparametric dictionary learning model","author":"ding","year":"2014","journal-title":"Proc AISTATS"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2015.2456415"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.69"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.347"},{"key":"ref50","first-page":"1097","article-title":"ImageNet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Proc NIPS"},{"key":"ref51","author":"wald","year":"2002","journal-title":"Data Fusion Definitions and Architectures Fusion of Images of Different Spatial Resolutions"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2014.2375320"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995660"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2010.2046811"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.14358\/PERS.74.2.193"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1080\/014311698215973"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2004.836784"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/97.995823"},{"key":"ref52","first-page":"1","article-title":"Discrimination among semi-arid landscape endmembers using the spectral angle mapper (SAM) algorithm","author":"yuhas","year":"1992","journal-title":"Proc Summaries 3rd Annu JPL Airborne Geosci Workshop"},{"key":"ref10","first-page":"457","article-title":"The use of intensity-hue-saturation transformations for merging SPOT panchromatic and multispectral image data","volume":"56","author":"carper","year":"1990","journal-title":"Photogramm Eng Remote Sens"},{"key":"ref11","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":"Photogramm Eng Remote Sens"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01234-2_18"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/0034-4257(87)90088-5"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2010.2051674"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2007.907604"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2007.909934"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2005.856106"},{"key":"ref17","first-page":"49","article-title":"Fusion of high spatial and spectral resolution images: The ARSIS concept and its implementation","volume":"66","author":"ranchin","year":"2000","journal-title":"Photogramm Eng Remote Sens"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.14358\/PERS.72.5.591"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-006-6852-x"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.193"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2439281"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2007.904923"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2002.803623"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2014.2361734"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2013.2281996"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1145\/2647868.2654889"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2007.901007"},{"key":"ref46","first-page":"1","article-title":"Multi-scale context aggregation by dilated convolutions","author":"yu","year":"2016","journal-title":"Proc ICLR"},{"key":"ref45","first-page":"1","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2015","journal-title":"Proc ICLR"},{"key":"ref48","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":"Photogramm Eng Remote Sens"},{"key":"ref47","first-page":"448","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","author":"ioffe","year":"2015","journal-title":"Proc ICML"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.73"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.411"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.573"}],"container-title":["IEEE Transactions on Neural Networks and Learning Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5962385\/9420773\/09106801.pdf?arnumber=9106801","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T14:53:16Z","timestamp":1652194396000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9106801\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,5]]},"references-count":69,"journal-issue":{"issue":"5"},"URL":"https:\/\/doi.org\/10.1109\/tnnls.2020.2996498","relation":{},"ISSN":["2162-237X","2162-2388"],"issn-type":[{"value":"2162-237X","type":"print"},{"value":"2162-2388","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,5]]}}}