{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,27]],"date-time":"2025-11-27T06:46:00Z","timestamp":1764225960887,"version":"3.37.3"},"reference-count":72,"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\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62301353","62275186","U22B2014"],"award-info":[{"award-number":["62301353","62275186","U22B2014"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Suzhou Science and Technology Planning Project-Industrial Fore-Sight and Key Core Technology Project","award":["SYC2022140"],"award-info":[{"award-number":["SYC2022140"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Geosci. Remote Sensing"],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/tgrs.2024.3387857","type":"journal-article","created":{"date-parts":[[2024,4,11]],"date-time":"2024-04-11T18:58:32Z","timestamp":1712861912000},"page":"1-14","source":"Crossref","is-referenced-by-count":2,"title":["Blind Spectral Super-Resolution by Estimating Spectral Degradation Between Unpaired Images"],"prefix":"10.1109","volume":"62","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4710-4275","authenticated-orcid":false,"given":"Jie","family":"Xie","sequence":"first","affiliation":[{"name":"School of Rail Transportation, Soochow University, Suzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2351-4461","authenticated-orcid":false,"given":"Leyuan","family":"Fang","sequence":"additional","affiliation":[{"name":"College of Electrical and Information Engineering and the Key Laboratory of Visual Perception and Artificial Intelligence of Hunan Province, Hunan University, Changsha, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5451-3045","authenticated-orcid":false,"given":"Cheng","family":"Wu","sequence":"additional","affiliation":[{"name":"School of Rail Transportation, Soochow University, Suzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3609-4964","authenticated-orcid":false,"given":"Feng","family":"Xie","sequence":"additional","affiliation":[{"name":"School of Rail Transportation, Soochow University, Suzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4817-2875","authenticated-orcid":false,"given":"Jocelyn","family":"Chanussot","sequence":"additional","affiliation":[{"name":"Inria, CNRS, Grenoble INP, LJK, Universit&#x00E9; Grenoble Alpes, Grenoble, France"}]}],"member":"263","reference":[{"doi-asserted-by":"publisher","key":"ref1","DOI":"10.1109\/TGRS.2020.2978211"},{"doi-asserted-by":"publisher","key":"ref2","DOI":"10.1016\/j.rse.2007.12.011"},{"doi-asserted-by":"publisher","key":"ref3","DOI":"10.1109\/TGRS.2019.2907932"},{"key":"ref4","doi-asserted-by":"crossref","DOI":"10.1109\/TGRS.2021.3134564","article-title":"Toward crop maturity assessment via UAS-based imaging spectroscopy\u2014A snap bean pod size classification field study","volume":"60","author":"Hassanzadeh","year":"2022","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"doi-asserted-by":"publisher","key":"ref5","DOI":"10.1109\/TIP.2022.3222904"},{"doi-asserted-by":"publisher","key":"ref6","DOI":"10.1109\/jstars.2020.3021052"},{"doi-asserted-by":"publisher","key":"ref7","DOI":"10.1109\/JSTARS.2022.3148139"},{"key":"ref8","doi-asserted-by":"crossref","DOI":"10.1109\/TGRS.2023.3240481","article-title":"Hyperspectral image instance segmentation using spectral\u2013spatial feature pyramid network","volume":"61","author":"Fang","year":"2023","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"doi-asserted-by":"publisher","key":"ref9","DOI":"10.1109\/JSTARS.2021.3062411"},{"doi-asserted-by":"publisher","key":"ref10","DOI":"10.1109\/TNNLS.2018.2798162"},{"doi-asserted-by":"publisher","key":"ref11","DOI":"10.1109\/TGRS.2020.2973370"},{"doi-asserted-by":"publisher","key":"ref12","DOI":"10.1109\/TGRS.2021.3049875"},{"doi-asserted-by":"publisher","key":"ref13","DOI":"10.1109\/TGRS.2019.2904108"},{"doi-asserted-by":"publisher","key":"ref14","DOI":"10.1109\/TNNLS.2020.3005234"},{"doi-asserted-by":"publisher","key":"ref15","DOI":"10.1109\/IGARSS39084.2020.9324543"},{"doi-asserted-by":"publisher","key":"ref16","DOI":"10.1109\/TPAMI.2022.3229433"},{"doi-asserted-by":"publisher","key":"ref17","DOI":"10.1109\/TGRS.2019.2924096"},{"doi-asserted-by":"publisher","key":"ref18","DOI":"10.1109\/TSP.2015.2452223"},{"doi-asserted-by":"publisher","key":"ref19","DOI":"10.1109\/CVPRW50498.2020.00239"},{"doi-asserted-by":"publisher","key":"ref20","DOI":"10.1109\/TIP.2010.2046811"},{"doi-asserted-by":"publisher","key":"ref21","DOI":"10.1109\/TPAMI.2023.3293522"},{"doi-asserted-by":"publisher","key":"ref22","DOI":"10.1109\/TIP.2023.3349004"},{"doi-asserted-by":"publisher","key":"ref23","DOI":"10.1109\/TPAMI.2015.2439281"},{"doi-asserted-by":"publisher","key":"ref24","DOI":"10.1109\/TGRS.2019.2902431"},{"doi-asserted-by":"publisher","key":"ref25","DOI":"10.1609\/aaai.v37i1.25165"},{"doi-asserted-by":"publisher","key":"ref26","DOI":"10.1109\/TPAMI.2020.3042298"},{"doi-asserted-by":"publisher","key":"ref27","DOI":"10.3390\/rs9111139"},{"doi-asserted-by":"publisher","key":"ref28","DOI":"10.1016\/j.neucom.2017.05.024"},{"key":"ref29","doi-asserted-by":"crossref","DOI":"10.1109\/TGRS.2023.3302128","article-title":"Blind super-resolution of single remotely sensed hyperspectral image","volume":"61","author":"Liang","year":"2023","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref30","first-page":"284","article-title":"Blind super-resolution kernel estimation using an internal-GAN","volume-title":"Proc. NIPS","author":"Bell-Kligler"},{"doi-asserted-by":"publisher","key":"ref31","DOI":"10.1016\/j.inffus.2023.03.021"},{"key":"ref32","doi-asserted-by":"crossref","DOI":"10.1109\/TGRS.2022.3192680","article-title":"Multilayer degradation representation-guided blind super-resolution for remote sensing images","volume":"60","author":"Kang","year":"2022","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"doi-asserted-by":"publisher","key":"ref33","DOI":"10.1109\/TGRS.2023.3291822"},{"doi-asserted-by":"publisher","key":"ref34","DOI":"10.1109\/TGRS.2020.3000684"},{"doi-asserted-by":"publisher","key":"ref35","DOI":"10.1109\/CVPRW50498.2020.00219"},{"doi-asserted-by":"publisher","key":"ref36","DOI":"10.1109\/TPAMI.2018.2873729"},{"doi-asserted-by":"publisher","key":"ref37","DOI":"10.2352\/ISSN.2470-1173.2016.19.COIMG-169"},{"doi-asserted-by":"publisher","key":"ref38","DOI":"10.1109\/TGRS.2018.2877124"},{"doi-asserted-by":"publisher","key":"ref39","DOI":"10.1016\/j.inffus.2023.101812"},{"key":"ref40","article-title":"RepCPSI: Coordinate-preserving proximity spectral interaction network with reparameterization for lightweight spectral super-resolution","volume":"61","author":"Wu","year":"2023","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"doi-asserted-by":"publisher","key":"ref41","DOI":"10.1109\/TPAMI.2015.2389824"},{"doi-asserted-by":"publisher","key":"ref42","DOI":"10.3758\/BF03342963"},{"doi-asserted-by":"publisher","key":"ref43","DOI":"10.1002\/col.20341"},{"doi-asserted-by":"publisher","key":"ref44","DOI":"10.1109\/TIP.2011.2118224"},{"doi-asserted-by":"publisher","key":"ref45","DOI":"10.1364\/JOSAA.25.000371"},{"doi-asserted-by":"publisher","key":"ref46","DOI":"10.1109\/ACCESS.2020.3047074"},{"doi-asserted-by":"publisher","key":"ref47","DOI":"10.1364\/JOSAA.29.002181"},{"doi-asserted-by":"publisher","key":"ref48","DOI":"10.1007\/s10043-009-0055-y"},{"doi-asserted-by":"publisher","key":"ref49","DOI":"10.1007\/978-3-319-10584-0_13"},{"doi-asserted-by":"publisher","key":"ref50","DOI":"10.1109\/CVPRW56347.2022.00102"},{"doi-asserted-by":"publisher","key":"ref51","DOI":"10.1109\/CVPRW50498.2020.00231"},{"doi-asserted-by":"publisher","key":"ref52","DOI":"10.1109\/CVPRW.2018.00138"},{"doi-asserted-by":"publisher","key":"ref53","DOI":"10.1109\/CVPRW.2018.00139"},{"doi-asserted-by":"publisher","key":"ref54","DOI":"10.1109\/tnnls.2021.3098767"},{"doi-asserted-by":"publisher","key":"ref55","DOI":"10.1109\/TCI.2020.3031070"},{"key":"ref56","first-page":"2672","article-title":"Generative adversarial networks","volume-title":"Proc. NIPS","volume":"27","author":"Goodfellow"},{"doi-asserted-by":"publisher","key":"ref57","DOI":"10.48550\/arXiv.1511.06434"},{"key":"ref58","first-page":"214","article-title":"Wasserstein generative adversarial networks","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Arjovsky"},{"key":"ref59","first-page":"2226","article-title":"Improved training of Wasserstein GANs","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Gulrajani"},{"doi-asserted-by":"publisher","key":"ref60","DOI":"10.1109\/CVPR.2017.19"},{"doi-asserted-by":"publisher","key":"ref61","DOI":"10.1109\/CVPR.2017.632"},{"doi-asserted-by":"publisher","key":"ref62","DOI":"10.1109\/ICCV.2017.244"},{"doi-asserted-by":"publisher","key":"ref63","DOI":"10.1109\/TMM.2019.2960586"},{"key":"ref64","first-page":"244","article-title":"On the optimization of deep networks: Implicit acceleration by overparameterization","volume-title":"Proc. 35th Int. Conf. Mach. Learn.","author":"Arora"},{"key":"ref65","first-page":"586","article-title":"Deep learning without poor local minima","volume-title":"Proc. Adv. Neural Inf. Process. Syst. (NIPS)","author":"Kawaguchi"},{"key":"ref66","first-page":"1","article-title":"Very deep convolutional networks for large-scale image recognition","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Simonyan"},{"doi-asserted-by":"publisher","key":"ref67","DOI":"10.48550\/arXiv.1802.05957"},{"doi-asserted-by":"publisher","key":"ref68","DOI":"10.5555\/3045118.3045167"},{"doi-asserted-by":"publisher","key":"ref69","DOI":"10.1109\/MGRS.2018.2798161"},{"doi-asserted-by":"publisher","key":"ref70","DOI":"10.1109\/CVPR52688.2022.01702"},{"doi-asserted-by":"publisher","key":"ref71","DOI":"10.1109\/CVPRW56347.2022.00090"},{"key":"ref72","article-title":"MFormer: Taming masked transformer for unsupervised spectral reconstruction","volume":"61","author":"Li","year":"2023","journal-title":"IEEE Trans. Geosci. Remote Sens."}],"container-title":["IEEE Transactions on Geoscience and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/36\/10354519\/10497125.pdf?arnumber=10497125","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,1]],"date-time":"2024-09-01T04:06:31Z","timestamp":1725163591000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10497125\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":72,"URL":"https:\/\/doi.org\/10.1109\/tgrs.2024.3387857","relation":{},"ISSN":["0196-2892","1558-0644"],"issn-type":[{"type":"print","value":"0196-2892"},{"type":"electronic","value":"1558-0644"}],"subject":[],"published":{"date-parts":[[2024]]}}}