{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,8]],"date-time":"2026-04-08T05:24:22Z","timestamp":1775625862328,"version":"3.50.1"},"reference-count":85,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100005145","name":"Basic Research for National Defense","doi-asserted-by":"publisher","award":["JCKY2020605C003"],"award-info":[{"award-number":["JCKY2020605C003"]}],"id":[{"id":"10.13039\/501100005145","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["T2322012"],"award-info":[{"award-number":["T2322012"]}],"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":["62172218"],"award-info":[{"award-number":["62172218"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Shenzhen Science and Technology Program","award":["JCYJ20220818103401003"],"award-info":[{"award-number":["JCYJ20220818103401003"]}]},{"name":"Shenzhen Science and Technology Program","award":["JCYJ20220530172403007"],"award-info":[{"award-number":["JCYJ20220530172403007"]}]},{"DOI":"10.13039\/501100003453","name":"Natural Science Foundation of Guangdong Province","doi-asserted-by":"publisher","award":["2022A1515010170"],"award-info":[{"award-number":["2022A1515010170"]}],"id":[{"id":"10.13039\/501100003453","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100013066","name":"Key Project of Natural Science Research in Colleges and Universities in Anhui Province","doi-asserted-by":"publisher","award":["2024AH050150"],"award-info":[{"award-number":["2024AH050150"]}],"id":[{"id":"10.13039\/501100013066","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Intell. Transport. Syst."],"published-print":{"date-parts":[[2025,1]]},"DOI":"10.1109\/tits.2024.3487972","type":"journal-article","created":{"date-parts":[[2024,11,8]],"date-time":"2024-11-08T18:44:41Z","timestamp":1731091481000},"page":"1055-1070","source":"Crossref","is-referenced-by-count":25,"title":["RSHazeDiff: A Unified Fourier-Aware Diffusion Model for Remote Sensing Image Dehazing"],"prefix":"10.1109","volume":"26","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6631-7404","authenticated-orcid":false,"given":"Jiamei","family":"Xiong","sequence":"first","affiliation":[{"name":"School of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6030-0855","authenticated-orcid":false,"given":"Xuefeng","family":"Yan","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6020-3211","authenticated-orcid":false,"given":"Yongzhen","family":"Wang","sequence":"additional","affiliation":[{"name":"College of Computer Science and Technology, Anhui University of Technology, Ma’anshan, China"}]},{"given":"Wei","family":"Zhao","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5241-0069","authenticated-orcid":false,"given":"Xiao-Ping","family":"Zhang","sequence":"additional","affiliation":[{"name":"Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0429-490X","authenticated-orcid":false,"given":"Mingqiang","family":"Wei","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2017.2665658"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2021.3098855"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2023.3266703"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2024.3432761"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2019.2927838"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2022.3203411"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2021.3117974"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2010.168"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.5244\/C.28.114"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2019.02.058"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/tgrs.2020.2974807"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2021.3103381"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2016.2598681"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.511"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58577-8_12"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2000.855874"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00741"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00710"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.01195"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2020.3006533"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3207832"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2022.3140609"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2018.00127"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.6701"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.2969348"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2022.3170328"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3204890"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3204461"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1145\/3528233.3530757"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01581"},{"key":"ref31","first-page":"6840","article-title":"Denoising diffusion probabilistic models","volume-title":"Proc. NIPS","volume":"33","author":"Ho"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2023.3238179"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2022.3214430"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2023.3285228"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/tits.2023.3277709"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1145\/3581783.3611744"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00986"},{"key":"ref38","first-page":"2256","article-title":"Deep unsupervised learning using nonequilibrium thermodynamics","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Sohl-Dickstein"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01042"},{"key":"ref40","first-page":"4479","article-title":"Fast Fourier convolution","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"33","author":"Chi"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00871"},{"key":"ref42","article-title":"Deep Fourier up-sampling","author":"Zhou","year":"2022","journal-title":"arXiv:2210.05171"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00903"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00414"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00236"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19800-7_11"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00570"},{"key":"ref48","first-page":"1","article-title":"Embedding Fourier for ultra-high-definition low-light image enhancement","volume-title":"Proc. 11th Int. Conf. Learn. Represent.","author":"Li"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01415"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-97576-9_10"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9781139165372"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00223"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.6865"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/TCI.2016.2644865"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/ACSSC.2003.1292216"},{"key":"ref57","article-title":"Very deep convolutional networks for large-scale image recognition","author":"Simonyan","year":"2014","journal-title":"arXiv:1409.1556"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1603.08155"},{"key":"ref59","article-title":"A remote sensing image dataset for cloud removal","author":"Lin","year":"2019","journal-title":"arXiv:1901.00600"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1145\/3394171.3413763"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.02134"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00560"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2023.3321307"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2024.3359217"},{"key":"ref65","first-page":"1","article-title":"PyTorch: An imperative style, high-performance deep learning library","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"32","author":"Paszke"},{"key":"ref66","article-title":"Denoising diffusion implicit models","author":"Song","year":"2020","journal-title":"arXiv:2010.02502"},{"key":"ref67","first-page":"12438","article-title":"Improved techniques for training score-based generative models","volume-title":"Proc. NIPS","volume":"33","author":"Song"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/tip.2003.819861"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1002\/col.20070"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00068"},{"key":"ref71","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":"ref72","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2014.7025924"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.34"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.742"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW56347.2022.00079"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2022.3141252"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.1145\/3581783.3611884"},{"key":"ref78","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2016.7532754"},{"key":"ref79","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-26313-2_4"},{"key":"ref80","first-page":"1","article-title":"Discrimination among semi-arid landscape endmembers using the spectral angle mapper (sam) algorithm","volume-title":"Proc. 3rd Annu. JPL Airborne Geosci. Workshop","volume":"1","author":"Yuhas"},{"key":"ref81","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00239"},{"key":"ref82","first-page":"42589","article-title":"Fourmer: An efficient global modeling paradigm for image restoration","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Zhou"},{"key":"ref83","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2023.3330416"},{"key":"ref84","doi-asserted-by":"publisher","DOI":"10.5281\/zenodo.7347926"},{"key":"ref85","doi-asserted-by":"publisher","DOI":"10.1016\/j.jvcir.2015.11.002"}],"container-title":["IEEE Transactions on Intelligent Transportation Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6979\/10841922\/10747754.pdf?arnumber=10747754","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,15]],"date-time":"2025-01-15T20:21:33Z","timestamp":1736972493000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10747754\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,1]]},"references-count":85,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/tits.2024.3487972","relation":{},"ISSN":["1524-9050","1558-0016"],"issn-type":[{"value":"1524-9050","type":"print"},{"value":"1558-0016","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,1]]}}}