{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,4]],"date-time":"2026-04-04T07:02:16Z","timestamp":1775286136564,"version":"3.50.1"},"reference-count":94,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"11","license":[{"start":{"date-parts":[[2018,11,1]],"date-time":"2018-11-01T00:00:00Z","timestamp":1541030400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Geosci. Remote Sensing"],"published-print":{"date-parts":[[2018,11]]},"DOI":"10.1109\/tgrs.2018.2843525","type":"journal-article","created":{"date-parts":[[2018,6,29]],"date-time":"2018-06-29T18:34:26Z","timestamp":1530297266000},"page":"6792-6810","source":"Crossref","is-referenced-by-count":171,"title":["A New Deep Generative Network for Unsupervised Remote Sensing Single-Image Super-Resolution"],"prefix":"10.1109","volume":"56","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6701-961X","authenticated-orcid":false,"given":"Juan Mario","family":"Haut","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1374-8416","authenticated-orcid":false,"given":"Ruben","family":"Fernandez-Beltran","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1030-3729","authenticated-orcid":false,"given":"Mercedes E.","family":"Paoletti","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2384-9141","authenticated-orcid":false,"given":"Javier","family":"Plaza","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9613-1659","authenticated-orcid":false,"given":"Antonio","family":"Plaza","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0054-3489","authenticated-orcid":false,"given":"Filiberto","family":"Pla","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1155\/2015\/258619"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2012.2194696"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2010.2102334"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2017.151"},{"key":"ref76","first-page":"807","article-title":"Rectified linear units improve restricted Boltzmann machines","author":"nair","year":"2010","journal-title":"Proc 27th Int Conf Mach Learn (ICML)"},{"key":"ref77","author":"xu","year":"2015","journal-title":"Empirical evaluation of rectified activations in convolutional network"},{"key":"ref39","first-page":"1","article-title":"Representation learning with convolutional sparse autoencoders for remote sensing","author":"f?rat","year":"2013","journal-title":"Proc 21st Signal Process Commun Appl Conf (SIU)"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.2017.8127436"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ICAwST.2017.8256517"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2016.09.010"},{"key":"ref78","first-page":"30","article-title":"Rectifier nonlinearities improve neural network acoustic models","author":"maas","year":"2013","journal-title":"Proc Int Conf Mach Learn (ICML)"},{"key":"ref79","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2015","journal-title":"Proc Int Conf Learn Represent"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2810208"},{"key":"ref32","article-title":"Deep hyperspectral image sharpening","author":"dian","year":"0","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2018.2794888"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2017.11.021"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CAC.2017.8243424"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.23919\/EUSIPCO.2017.8081318"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2439281"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.5194\/isprsarchives-XLI-B3-883-2016"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2010.2050625"},{"key":"ref62","first-page":"184","article-title":"Learning a deep convolutional network for image super-resolution","volume":"8692","author":"dong","year":"2014","journal-title":"Vision Computer"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.241"},{"key":"ref28","article-title":"Land use classification in remote sensing images by convolutional neural networks","author":"castelluccio","year":"2015","journal-title":"CoRR"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2014.2321404"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.2015.7326945"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2009.5459271"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7299156"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2016.2584107"},{"key":"ref66","first-page":"783","article-title":"Blind deblurring using internal patch recurrence","author":"michaeli","year":"2014","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2002.1033210"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2015.2417864"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.182"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2017.2773367"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2012.2190811"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1080\/01431169308904316"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1080\/014311699213622"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1080\/014311697218700"},{"key":"ref24","author":"goodfellow","year":"2016","journal-title":"Deep Learning"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1038\/nature14539"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2017.7965926"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1561\/2200000006"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1007\/s11227-016-1896-3"},{"key":"ref51","first-page":"1063","article-title":"Cloud implementation of logistic regression for hyperspectral image classification","author":"haut","year":"2017","journal-title":"Proc 17th Int Conf Comput Math Methods Sci Eng (CMMSE)"},{"key":"ref94","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2016.2567075"},{"key":"ref93","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995713"},{"key":"ref92","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/1944846.1944852","article-title":"Image and video upscaling from local self-examples","volume":"30","author":"freedman","year":"2011","journal-title":"ACM Trans Graph"},{"key":"ref91","doi-asserted-by":"publisher","DOI":"10.1016\/B978-0-08-050753-8.50042-5"},{"key":"ref90","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2017.2675998"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2010.2092441"},{"key":"ref58","author":"gonzalez","year":"2006","journal-title":"Digital Image Processing"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1086\/111605"},{"key":"ref56","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":"ref55","doi-asserted-by":"publisher","DOI":"10.1016\/1049-9652(91)90045-L"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1080\/01431161.2016.1264027"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1007\/s00138-014-0623-4"},{"key":"ref52","author":"plaza","year":"2008","journal-title":"High Performance Computing in Remote Sensing"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1080\/10106048709354084"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.3390\/a11010009"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2003.1203207"},{"key":"ref12","author":"milanfar","year":"2010","journal-title":"Super-Resolution Imaging"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.sigpro.2016.05.002"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.3390\/rs8100797"},{"key":"ref15","first-page":"372","article-title":"Single-image super-resolution: A benchmark","author":"yang","year":"2014","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2723243"},{"key":"ref82","doi-asserted-by":"publisher","DOI":"10.1049\/el:20080522"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICDSP.2015.7251858"},{"key":"ref81","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014","journal-title":"CoRR"},{"key":"ref18","doi-asserted-by":"crossref","DOI":"10.1201\/b18189","author":"alparone","year":"2015","journal-title":"Image Fusion In Remote Sensing"},{"key":"ref84","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2003.819861"},{"key":"ref19","doi-asserted-by":"crossref","DOI":"10.1093\/oso\/9780198538493.001.0001","author":"bishop","year":"1995","journal-title":"Neural Networks for Pattern Recognition"},{"key":"ref83","article-title":"Discrimination among semi-arid landscape endmembers using the Spectral Angle Mapper (SAM) algorithm","author":"yuhas","year":"1992"},{"key":"ref80","doi-asserted-by":"publisher","DOI":"10.1016\/B978-0-08-050753-8.50042-5"},{"key":"ref89","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2015.2475299"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2017.2754648"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1080\/01431161.2018.1433343"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2017.2727515"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2017.2755773"},{"key":"ref85","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2015.2496263"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2784560"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2011.940409"},{"key":"ref86","article-title":"Automatic differentiation in PyTorch","author":"paszke","year":"2017","journal-title":"Proc NIPS-W"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2017.2773118"},{"key":"ref87","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.19"},{"key":"ref88","doi-asserted-by":"publisher","DOI":"10.1145\/1869790.1869829"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2014.03.009"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2017.107"},{"key":"ref45","first-page":"483","article-title":"Stacked hourglass networks for human pose estimation","author":"newell","year":"2016","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1016\/j.vlsi.2012.04.002"},{"key":"ref47","first-page":"1625","article-title":"Yinyang K-means clustering for hyperspectral image analysis","author":"paoletti","year":"2017","journal-title":"Proc 17th Int Conf Comput Math Methods Sci Eng"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2017.2752750"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.2016.7730968"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2015.7301268"}],"container-title":["IEEE Transactions on Geoscience and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/36\/8509678\/08400496.pdf?arnumber=8400496","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,7]],"date-time":"2024-07-07T21:11:44Z","timestamp":1720386704000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8400496\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,11]]},"references-count":94,"journal-issue":{"issue":"11"},"URL":"https:\/\/doi.org\/10.1109\/tgrs.2018.2843525","relation":{},"ISSN":["0196-2892","1558-0644"],"issn-type":[{"value":"0196-2892","type":"print"},{"value":"1558-0644","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,11]]}}}