{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,4]],"date-time":"2026-06-04T15:17:40Z","timestamp":1780586260678,"version":"3.54.1"},"reference-count":88,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"8","license":[{"start":{"date-parts":[[2020,8,1]],"date-time":"2020-08-01T00:00:00Z","timestamp":1596240000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,8,1]],"date-time":"2020-08-01T00:00:00Z","timestamp":1596240000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,8,1]],"date-time":"2020-08-01T00:00:00Z","timestamp":1596240000000},"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":["71771216"],"award-info":[{"award-number":["71771216"]}],"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":["71701209"],"award-info":[{"award-number":["71701209"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Geosci. Remote Sensing"],"published-print":{"date-parts":[[2020,8]]},"DOI":"10.1109\/tgrs.2020.2966669","type":"journal-article","created":{"date-parts":[[2020,1,29]],"date-time":"2020-01-29T21:33:20Z","timestamp":1580333600000},"page":"5503-5515","source":"Crossref","is-referenced-by-count":26,"title":["E-DBPN: Enhanced Deep Back-Projection Networks for Remote Sensing Scene Image Superresolution"],"prefix":"10.1109","volume":"58","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4809-9738","authenticated-orcid":false,"given":"Yunlong","family":"Yu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0231-720X","authenticated-orcid":false,"given":"Xianzhi","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0827-8472","authenticated-orcid":false,"given":"Fuxian","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref73","article-title":"BAM: Bottleneck attention module","author":"park","year":"2018","journal-title":"arXiv 1807 06514"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01234-2_1"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1038\/nrn755"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00019"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0816-y"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2017.150"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00745"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.181"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.1162\/neco_a_00990"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.182"},{"key":"ref78","doi-asserted-by":"publisher","DOI":"10.5244\/C.26.135"},{"key":"ref79","first-page":"711","article-title":"On single image scale-up using sparse-representations","author":"zeyde","year":"2010","journal-title":"Proc Int Conf Curves Surfaces"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.3390\/s18041194"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2018.2810893"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.3390\/rs10111700"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2017.2766204"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2439281"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10593-2_13"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00179"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2018.2870536"},{"key":"ref60","first-page":"1398","article-title":"Multiscale structural similarity for image quality assessment","volume":"2","author":"wang","year":"2004","journal-title":"Proc 37th Asilomar Conf Signals Syst Comput"},{"key":"ref62","first-page":"658","article-title":"Generating images with perceptual similarity metrics based on deep networks","author":"dosovitskiy","year":"2016","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref61","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2014","journal-title":"arXiv 1409 1556"},{"key":"ref63","first-page":"694","article-title":"Perceptual losses for real-time style transfer and super-resolution","author":"johnson","year":"2016","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2885506"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00070"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2018.01.056"},{"key":"ref65","first-page":"2672","article-title":"Generative adversarial nets","author":"goodfellow","year":"2014","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref66","first-page":"262","article-title":"Texture synthesis using convolutional neural networks","author":"gatys","year":"2015","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2017.2704122"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.265"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2018.00113"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2005.851684"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.3390\/rs11050518"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2869101"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2010.2050625"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1080\/21681163.2016.1182072"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2017.2778191"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2017.11.028"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2878669"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2846566"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2864920"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.481"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00178"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2003.819861"},{"key":"ref58","article-title":"Deep learning for image super-resolution: A survey","author":"wang","year":"2019","journal-title":"arXiv 1902 06068"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2018.00131"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2865304"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.618"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01270-0_27"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-11021-5_5"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01234-2_18"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2004.1315043"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2009.5459271"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.486"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/1944846.1944852"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1175\/1520-0450(1979)018<1016:LFIOAT>2.0.CO;2"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TASSP.1981.1163711"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/1049-9652(91)90045-L"},{"key":"ref82","doi-asserted-by":"publisher","DOI":"10.1080\/01431161.2011.608740"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/83.503915"},{"key":"ref81","doi-asserted-by":"publisher","DOI":"10.1145\/1869790.1869829"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/83.941854"},{"key":"ref84","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2017.2685945"},{"key":"ref18","first-page":"1","article-title":"Image super-resolution using gradient profile prior","author":"sun","year":"2008","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref83","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2015.2475299"},{"key":"ref19","first-page":"1","article-title":"Image super-resolution as sparse representation of raw image patches","author":"yang","year":"2008","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref80","first-page":"416","article-title":"A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics","author":"martin","year":"2002","journal-title":"Proc 8th IEEE Int Conf Comput Vis (ICCV)"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/s10816-017-9347-x"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1080\/10406026.2017.1307009"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.3390\/rs11030281"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2018.01.004"},{"key":"ref85","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2017.2675998"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00563-4_11"},{"key":"ref86","doi-asserted-by":"publisher","DOI":"10.1016\/j.jvcir.2011.06.004"},{"key":"ref7","article-title":"Deep learning for single image super-resolution: A brief review","author":"yang","year":"2018","journal-title":"arXiv 1808 03344"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.514"},{"key":"ref87","doi-asserted-by":"publisher","DOI":"10.1145\/2647868.2654889"},{"key":"ref88","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2018.8489564"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/38.988747"},{"key":"ref46","first-page":"391","article-title":"Accelerating the super-resolution convolutional neural network","author":"dong","year":"2016","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.207"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2017.151"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.19"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00329"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.298"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2877483"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1007\/s12559-017-9512-2"}],"container-title":["IEEE Transactions on Geoscience and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/36\/9145890\/08974409.pdf?arnumber=8974409","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,4,27]],"date-time":"2022-04-27T14:11:01Z","timestamp":1651068661000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8974409\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,8]]},"references-count":88,"journal-issue":{"issue":"8"},"URL":"https:\/\/doi.org\/10.1109\/tgrs.2020.2966669","relation":{},"ISSN":["0196-2892","1558-0644"],"issn-type":[{"value":"0196-2892","type":"print"},{"value":"1558-0644","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,8]]}}}