{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,19]],"date-time":"2026-02-19T15:17:49Z","timestamp":1771514269018,"version":"3.50.1"},"reference-count":63,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"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","id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62125102"],"award-info":[{"award-number":["62125102"]}],"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","id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Geosci. Remote Sensing"],"published-print":{"date-parts":[[2022]]},"DOI":"10.1109\/tgrs.2022.3222360","type":"journal-article","created":{"date-parts":[[2022,11,14]],"date-time":"2022-11-14T21:34:52Z","timestamp":1668461692000},"page":"1-11","source":"Crossref","is-referenced-by-count":20,"title":["Large-Factor Super-Resolution of Remote Sensing Images With Spectra-Guided Generative Adversarial Networks"],"prefix":"10.1109","volume":"60","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3339-761X","authenticated-orcid":false,"given":"Yapeng","family":"Meng","sequence":"first","affiliation":[{"name":"Image Processing Center, School of Astronautics, Beihang University, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3889-2775","authenticated-orcid":false,"given":"Wenyuan","family":"Li","sequence":"additional","affiliation":[{"name":"Image Processing Center, School of Astronautics, Beihang University, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8010-3282","authenticated-orcid":false,"given":"Sen","family":"Lei","sequence":"additional","affiliation":[{"name":"AVIC Chengdu Aircraft Industrial (Group) Company Ltd., Chengdu, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1774-552X","authenticated-orcid":false,"given":"Zhengxia","family":"Zou","sequence":"additional","affiliation":[{"name":"Department of Guidance, Navigation and Control, School of Astronautics, Beihang University, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4772-3172","authenticated-orcid":false,"given":"Zhenwei","family":"Shi","sequence":"additional","affiliation":[{"name":"Image Processing Center, School of Astronautics, Beihang University, Beijing, China"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01042"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3204461"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00251"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2902431"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00070"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.19"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2022.01.029"},{"key":"ref36","first-page":"2256","article-title":"Deep unsupervised learning using nonequilibrium thermodynamics","author":"sohl-dickstein","year":"2015","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref35","first-page":"6840","article-title":"Denoising diffusion probabilistic models","volume":"33","author":"ho","year":"2020","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00453"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2019.00167"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2012.2227726"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2003.819861"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00852"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.2994253"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.36"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2951160"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3055613"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3213797"},{"key":"ref22","author":"le saux","year":"2019","journal-title":"Data fusion contest 2019 (dfc2019)"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.3390\/rs12050758"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.182"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00068"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.181"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2017.151"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2018.2810893"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2885506"},{"key":"ref59","author":"contributors","year":"2022","journal-title":"MMEditing OpenMMLab Image and Video Editing Toolbox"},{"key":"ref58","first-page":"8026","article-title":"PyTorch: An imperative style, high-performance deep learning library","author":"paszke","year":"2019","journal-title":"Proc 33rd Int Conf Neural Inf Process Syst"},{"key":"ref57","article-title":"Revisiting small batch training for deep neural networks","author":"masters","year":"2018","journal-title":"arXiv 1804 07612"},{"key":"ref56","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014","journal-title":"arXiv 1412 6980"},{"key":"ref55","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2014","journal-title":"arXiv 1409 1556"},{"key":"ref54","doi-asserted-by":"crossref","first-page":"694","DOI":"10.1007\/978-3-319-46475-6_43","article-title":"Perceptual losses for real-time style transfer and super-resolution","author":"johnson","year":"2016","journal-title":"Computer Vision—ECCV 2016"},{"key":"ref53","article-title":"Empirical evaluation of rectified activations in convolutional network","author":"xu","year":"2015","journal-title":"arXiv 1505 00853"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2959020"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2012.2230270"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW50498.2020.00228"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2017.2778191"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.241"},{"key":"ref13","first-page":"111","article-title":"Adjusted anchored neighborhood regression for fast super-resolution","author":"timofte","year":"2014","journal-title":"Proc Asian Conf Comput Vis"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7299003"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2014.2308905"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2439281"},{"key":"ref17","first-page":"2672","article-title":"Generative adversarial nets","volume":"2","author":"goodfellow","year":"2014","journal-title":"Proc 27th Int Conf Neural Inf Process Syst (NIPS)"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00262"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01402"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.20546\/ijcmas.2019.801.238"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.biosystemseng.2012.08.009"},{"key":"ref6","article-title":"Application of remote sensing, GIS and GPS for efficient urban management plan, a case study of part of Hyderabad city","author":"akanbi","year":"2013","journal-title":"arXiv 1312 4932"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/S0197-3975(01)00021-2"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/B978-0-12-374739-6.00051-8"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3171269"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1023\/B:NHAZ.0000037035.65105.95"},{"key":"ref9","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":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2917427"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2019.2899576"},{"key":"ref48","first-page":"6000","article-title":"Attention is all you need","author":"vaswani","year":"2017","journal-title":"Proc 31st Int Conf Neural Inf Process Syst (NIPS)"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00583"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.23915\/distill.00003"},{"key":"ref41","first-page":"63","article-title":"ESRGAN: Enhanced super-resolution generative adversarial networks","author":"wang","year":"2018","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2017.2704122"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2018.8451141"}],"container-title":["IEEE Transactions on Geoscience and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/36\/9633014\/09950553.pdf?arnumber=9950553","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,12]],"date-time":"2022-12-12T19:34:21Z","timestamp":1670873661000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9950553\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":63,"URL":"https:\/\/doi.org\/10.1109\/tgrs.2022.3222360","relation":{},"ISSN":["0196-2892","1558-0644"],"issn-type":[{"value":"0196-2892","type":"print"},{"value":"1558-0644","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]}}}