{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,3]],"date-time":"2026-03-03T16:09:11Z","timestamp":1772554151402,"version":"3.50.1"},"reference-count":88,"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":["62201467"],"award-info":[{"award-number":["62201467"]}],"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":["62101453"],"award-info":[{"award-number":["62101453"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Project funded by China Postdoctoral Science Foundation","award":["2022TQ0260"],"award-info":[{"award-number":["2022TQ0260"]}]},{"name":"Project funded by China Postdoctoral Science Foundation","award":["2023M742842"],"award-info":[{"award-number":["2023M742842"]}]},{"name":"Young Talent Fund of Xi\u2019an Association for Science and Technology","award":["959202313088"],"award-info":[{"award-number":["959202313088"]}]},{"DOI":"10.13039\/501100019448","name":"Innovation Capability Support Program of Shaanxi","doi-asserted-by":"publisher","award":["2024ZC-KJXX-043"],"award-info":[{"award-number":["2024ZC-KJXX-043"]}],"id":[{"id":"10.13039\/501100019448","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. on Image Process."],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/tip.2024.3461476","type":"journal-article","created":{"date-parts":[[2024,9,20]],"date-time":"2024-09-20T17:27:39Z","timestamp":1726853259000},"page":"5496-5509","source":"Crossref","is-referenced-by-count":26,"title":["CrossDiff: Exploring Self-SupervisedRepresentation of Pansharpening via Cross-Predictive Diffusion Model"],"prefix":"10.1109","volume":"33","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6021-8261","authenticated-orcid":false,"given":"Yinghui","family":"Xing","sequence":"first","affiliation":[{"name":"Shaanxi Provincial Key Laboratory of Speech and Image Information Processing and the National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, School of Computer Science, Northwestern Polytechnical University, Xi’an, China"}]},{"given":"Litao","family":"Qu","sequence":"additional","affiliation":[{"name":"Shaanxi Provincial Key Laboratory of Speech and Image Information Processing and the National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, School of Computer Science, Northwestern Polytechnical University, Xi’an, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3429-576X","authenticated-orcid":false,"given":"Shizhou","family":"Zhang","sequence":"additional","affiliation":[{"name":"Shaanxi Provincial Key Laboratory of Speech and Image Information Processing and the National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, School of Computer Science, Northwestern Polytechnical University, Xi’an, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9218-5916","authenticated-orcid":false,"given":"Kai","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Information Science and Engineering, Shandong Normal University, Jinan, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2977-8057","authenticated-orcid":false,"given":"Yanning","family":"Zhang","sequence":"additional","affiliation":[{"name":"Shaanxi Provincial Key Laboratory of Speech and Image Information Processing and the National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, School of Computer Science, Northwestern Polytechnical University, Xi’an, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6036-459X","authenticated-orcid":false,"given":"Lorenzo","family":"Bruzzone","sequence":"additional","affiliation":[{"name":"Department of Information Engineering and Computer Science, University of Trento, Trento, Italy"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2017.2650198"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.2015.7326158"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2010.2044508"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2621050"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2010.2051674"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2007.907604"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2002.803623"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2007.904923"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.14358\/PERS.72.5.591"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2013.2257669"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2014.2331291"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2017.2768386"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/MGRS.2022.3187652"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.193"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.3390\/rs8070594"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.3036625"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.3042974"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2022.10.001"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2020.04.006"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICME52920.2022.9859770"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00181"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i3.20267"},{"issue":"6","key":"ref23","first-page":"691","article-title":"Fusion of satellite images of different spatial resolutions: Assessing the quality of resulting images","volume":"63","author":"Wald","year":"1997","journal-title":"Photogramm. Eng. Remote Sens."},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2022.10.010"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3163887"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2024.3434431"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2020.3008047"},{"key":"ref28","first-page":"6309","article-title":"Neural discrete representation learning","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"30","author":"Van Den Oord"},{"key":"ref29","first-page":"10542","article-title":"Large scale adversarial representation learning","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"32","author":"Donahue"},{"key":"ref30","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":"ref31","first-page":"6840","article-title":"Denoising diffusion probabilistic models","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"33","author":"Ho"},{"key":"ref32","first-page":"6569","article-title":"Label-efficient semantic segmentation with diffusion models","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Baranchuk"},{"key":"ref33","article-title":"Deconstructing denoising diffusion models for self-supervised learning","author":"Chen","year":"2024","journal-title":"arXiv:2401.14404"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.96"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2022.3184250"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2439281"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2020.12.014"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1145\/3581783.3612188"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1145\/3581783.3612084"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3168465"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.3390\/rs14030624"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.3390\/rs12030348"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.3009207"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2022.08.018"},{"key":"ref46","article-title":"Super-resolution with deep convolutional sufficient statistics","author":"Bruna","year":"2015","journal-title":"arXiv:1511.05666"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2022.3215906"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.19"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3060958"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3204461"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01042"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1145\/3528233.3530757"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2023.3279864"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2023.102158"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2023.3321318"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3137373"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2024.102325"},{"key":"ref58","article-title":"DDPM-CD: Denoising diffusion probabilistic models as feature extractors for change detection","author":"Bandara","year":"2022","journal-title":"arXiv:2206.11892"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00975"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01410"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.76"},{"key":"ref62","first-page":"10873","article-title":"Energy-inspired self-supervised pretraining for vision models","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Wang"},{"key":"ref63","first-page":"1691","article-title":"Generative pretraining from pixels","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Chen"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.01448"},{"key":"ref65","first-page":"8162","article-title":"Improved denoising diffusion probabilistic models","volume-title":"Proc. 38th Int. Conf. Mach. Learn.","author":"Nichol"},{"key":"ref66","article-title":"Photorealistic text-to-image diffusion models with deep language understanding","author":"Saharia","year":"2022","journal-title":"arXiv:2205.11487"},{"key":"ref67","article-title":"Hierarchical text-conditional image generation with CLIP latents","author":"Ramesh","year":"2022","journal-title":"arXiv:2204.06125"},{"key":"ref68","first-page":"3155","article-title":"Adversarial score matching and improved sampling for image generation","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Jolicoeur-Martineau"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00928-1_48"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2003.819861"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.14358\/pers.74.2.193"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2016.2614367"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2017.2757508"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2819501"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2023.3299356"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3166528"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2022.3188181"},{"key":"ref78","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58539-6_6"},{"key":"ref79","doi-asserted-by":"publisher","DOI":"10.1109\/MGRS.2020.3019315"},{"key":"ref80","first-page":"147","article-title":"Discrimination among semi-arid landscape endmembers using the spectral angle mapper (SAM) algorithm","volume-title":"Proc. JPL, Summaries 3rd Annu. JPL Airborne Geosci. Workshop, AVIRIS Workshop","author":"Yuhas"},{"key":"ref81","volume-title":"Data Fusion: Definitions and Architectures: Fusion of Images of Different Spatial Resolutions","author":"Wald","year":"2002"},{"key":"ref82","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2009.2022650"},{"key":"ref83","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2014.2361734"},{"key":"ref84","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2900419"},{"key":"ref85","doi-asserted-by":"publisher","DOI":"10.1109\/ICME51207.2021.9428272"},{"key":"ref86","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3067097"},{"key":"ref87","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2022.3171423"},{"key":"ref88","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2017.2761021"}],"container-title":["IEEE Transactions on Image Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/83\/10346232\/10685062.pdf?arnumber=10685062","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,7]],"date-time":"2024-10-07T17:53:46Z","timestamp":1728323626000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10685062\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":88,"URL":"https:\/\/doi.org\/10.1109\/tip.2024.3461476","relation":{},"ISSN":["1057-7149","1941-0042"],"issn-type":[{"value":"1057-7149","type":"print"},{"value":"1941-0042","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]}}}