{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,31]],"date-time":"2026-10-31T21:09:08Z","timestamp":1793480948572,"version":"4.5.0"},"reference-count":80,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100003819","name":"Natural Science Foundation of Hubei Province (Distinguished Young Scholars), China","doi-asserted-by":"publisher","award":["2022CFA073"],"award-info":[{"award-number":["2022CFA073"]}],"id":[{"id":"10.13039\/501100003819","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003453","name":"Natural Science Foundation of Guangdong Province, China","doi-asserted-by":"publisher","award":["2023A1515012834"],"award-info":[{"award-number":["2023A1515012834"]}],"id":[{"id":"10.13039\/501100003453","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Geosci. Remote Sensing"],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/tgrs.2024.3425517","type":"journal-article","created":{"date-parts":[[2024,7,9]],"date-time":"2024-07-09T18:29:38Z","timestamp":1720549778000},"page":"1-18","source":"Crossref","is-referenced-by-count":25,"title":["UnmixDiff: Unmixing-Based Diffusion Model for Hyperspectral Image Synthesis"],"prefix":"10.1109","volume":"62","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7383-7408","authenticated-orcid":false,"given":"Yang","family":"Yu","sequence":"first","affiliation":[{"name":"Electronic Information School, Wuhan University, Wuhan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6969-7104","authenticated-orcid":false,"given":"Erting","family":"Pan","sequence":"additional","affiliation":[{"name":"Electronic Information School, Wuhan University, Wuhan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1116-0662","authenticated-orcid":false,"given":"Yong","family":"Ma","sequence":"additional","affiliation":[{"name":"Electronic Information School, Wuhan University, Wuhan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0239-8580","authenticated-orcid":false,"given":"Xiaoguang","family":"Mei","sequence":"additional","affiliation":[{"name":"Electronic Information School, Wuhan University, Wuhan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qihai","family":"Chen","sequence":"additional","affiliation":[{"name":"Tsinghua Innovation Center in Zhuhai, Zhuhai, Guangdong, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3264-3265","authenticated-orcid":false,"given":"Jiayi","family":"Ma","sequence":"additional","affiliation":[{"name":"Electronic Information School, Wuhan University, Wuhan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1080\/10095020.2022.2085633"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2021.04.003"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.3390\/rs13234912"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1080\/10095020.2020.1860653"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.2013.6723850"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.3390\/rs70708830"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.3390\/rs70911249"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/3306346.3322946"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1364\/OPTICA.397214"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2021.02.014"},{"key":"ref11","article-title":"Multimodal image synthesis and editing: The generative AI era","author":"Zhan","year":"2021","journal-title":"arXiv:2112.13592"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2013.07.019"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2016.2538300"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2017.2754221"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2022.3231380"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1186\/s40537-019-0197-0"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW56347.2022.00090"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3173532"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.2018.8518321"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2017.2759240"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3214832"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3116668"},{"key":"ref23","first-page":"1","article-title":"Generating diverse highfidelity images with VQ-VAE-2","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"32","author":"Razavi"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01063"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.jjimei.2020.100004"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2021.3130191"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1038\/s41592-023-01909-9"},{"key":"ref28","first-page":"6840","article-title":"Denoising diffusion probabilistic models","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"33","author":"Ho"},{"key":"ref29","first-page":"21696","article-title":"Variational diffusion models","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"34","author":"Kingma"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2023.3261988"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00813"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"ref33","first-page":"8162","article-title":"Improved denoising diffusion probabilistic models","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Nichol"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3114203"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/MGRS.2021.3071158"},{"key":"ref36","article-title":"Semantic image synthesis via diffusion models","author":"Wang","year":"2022","journal-title":"arXiv:2207.00050"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.cosrev.2020.100285"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1115\/1.4053859"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2022.11.005"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00513"},{"key":"ref41","first-page":"8780","article-title":"Diffusion models beat GANs on image synthesis","volume-title":"Proc. Adv. Neural Inf. Process. Syst. (NeurIPS)","volume":"34","author":"Dhariwal"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01042"},{"key":"ref43","first-page":"2784","article-title":"Network-to-network translation with conditional invertible neural networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"33","author":"Rombach"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2805286"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2023.3310023"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.3390\/rs14081790"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2962713"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.23919\/Eusipco47968.2020.9287675"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2021.05.029"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2023.3305243"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3232705"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.3390\/rs13163258"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2015.04.013"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2011.11.002"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2015.05.005"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.3390\/rs70709347"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2017.2714423"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2024.102419"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS39084.2020.9324546"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2021.3140154"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2022.3208987"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2005.844293"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2009.2025797"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2011.2144605"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2818280"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.2992743"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1016\/j.jag.2022.102981"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2022.06.111"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1807.06521"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1312.6114"},{"key":"ref71","first-page":"2256","article-title":"Deep unsupervised learning using nonequilibrium thermodynamics","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Sohl-Dickstein"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1710.05941"},{"key":"ref74","first-page":"5","article-title":"Airborne hyperspectral data over chikusei","volume":"5","author":"Yokoya","year":"2016"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.1016\/j.jag.2022.103022"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW56347.2022.00102"},{"key":"ref77","first-page":"1","article-title":"GANs trained by a two time-scale update rule converge to a local nash equilibrium","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"30","author":"Heusel"},{"key":"ref78","first-page":"1","article-title":"Improved precision and recall metric for assessing generative models","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"32","author":"Kynk\u00e4\u00e4nniemi"},{"issue":"11","key":"ref79","first-page":"1299","article-title":"Aerial hyperspectral remote sensing classification dataset of Xiongan New Area (Matiwan Village)","volume":"24","author":"Yi","year":"2020","journal-title":"Nat. Remote Sens. Bull."},{"key":"ref80","doi-asserted-by":"publisher","DOI":"10.1109\/IEEECONF53345.2021.9723419"}],"container-title":["IEEE Transactions on Geoscience and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/36\/10354519\/10591708.pdf?arnumber=10591708","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,14]],"date-time":"2025-05-14T17:32:20Z","timestamp":1747243940000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10591708\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":80,"URL":"https:\/\/doi.org\/10.1109\/tgrs.2024.3425517","relation":{},"ISSN":["0196-2892","1558-0644"],"issn-type":[{"value":"0196-2892","type":"print"},{"value":"1558-0644","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]}}}