Log InRegister
Quick Links : The Mindat ManualThe Rock H. Currier Digital LibraryMindat Newsletter [Free Download]
Home PageAbout MindatThe Mindat ManualHistory of MindatCopyright StatusWho We AreContact UsAdvertise on Mindat
Donate to MindatCorporate SponsorshipSponsor a PageSponsored PagesMindat AdvertisersAdvertise on Mindat
Learning CenterWhat is a mineral?The most common minerals on earthInformation for EducatorsMindat ArticlesThe ElementsThe Rock H. Currier Digital LibraryGeologic Time
Minerals by PropertiesMinerals by ChemistryAdvanced Locality SearchRandom MineralRandom LocalitySearch by minIDLocalities Near MeSearch ArticlesSearch GlossaryMore Search Options
Search For:
Mineral Name:
Locality Name:
Keyword(s):
 
The Mindat ManualAdd a New PhotoRate PhotosLocality Edit ReportCoordinate Completion ReportAdd Glossary Item
Mining CompaniesStatisticsUsersMineral MuseumsClubs & OrganizationsMineral Shows & EventsThe Mindat DirectoryDevice SettingsThe Mineral Quiz
Photo SearchPhoto GalleriesSearch by ColorNew Photos TodayNew Photos YesterdayMembers' Photo GalleriesPast Photo of the Day GalleryPhotography

Zhang, Kaiwei, Zhu, Dandan, Min, Xiongkuo, Zhai, Guangtao (2023) Implicit Neural Representation Learning for Hyperspectral Image Super-Resolution. IEEE Transactions on Geoscience and Remote Sensing, 61. 1-12 doi:10.1109/tgrs.2022.3230204

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitleImplicit Neural Representation Learning for Hyperspectral Image Super-Resolution
JournalIEEE Transactions on Geoscience and Remote Sensing
AuthorsZhang, KaiweiAuthor
Zhu, DandanAuthor
Min, XiongkuoAuthor
Zhai, GuangtaoAuthor
Year2023Volume61
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
DOIdoi:10.1109/tgrs.2022.3230204Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID15670046Long-form Identifiermindat:1:5:15670046:9
GUID0
Full ReferenceZhang, Kaiwei, Zhu, Dandan, Min, Xiongkuo, Zhai, Guangtao (2023) Implicit Neural Representation Learning for Hyperspectral Image Super-Resolution. IEEE Transactions on Geoscience and Remote Sensing, 61. 1-12 doi:10.1109/tgrs.2022.3230204
Plain TextZhang, Kaiwei, Zhu, Dandan, Min, Xiongkuo, Zhai, Guangtao (2023) Implicit Neural Representation Learning for Hyperspectral Image Super-Resolution. IEEE Transactions on Geoscience and Remote Sensing, 61. 1-12 doi:10.1109/tgrs.2022.3230204
In(2023) IEEE Transactions on Geoscience and Remote Sensing Vol. 61. Institute of Electrical and Electronics Engineers (IEEE)

See Also

These are possibly similar items as determined by title/reference text matching only.

Li, Qiang, Yuan, Yuan, Wang, Qi (2023) Multiscale Factor Joint Learning for Hyperspectral Image Super-Resolution. IEEE Transactions on Geoscience and Remote Sensing, 61. 1-10 doi:10.1109/tgrs.2023.3312436
Chen, Shi, Zhang, Lefei, Zhang, Liangpei (2023) MSDformer: Multiscale Deformable Transformer for Hyperspectral Image Super-Resolution. IEEE Transactions on Geoscience and Remote Sensing, 61. 1-14 doi:10.1109/tgrs.2023.3315970
Jia, Sen, Zhu, Shuangzhao, Wang, Zhihao, Xu, Meng, Wang, Weixi, Guo, Yujuan (2023) Diffused Convolutional Neural Network for Hyperspectral Image Super-Resolution. IEEE Transactions on Geoscience and Remote Sensing, 61. 1-15 doi:10.1109/tgrs.2023.3250640
Mishra, Divya, Hadar, Ofer (2023) Accelerating Neural Style-Transfer Using Contrastive Learning for Unsupervised Satellite Image Super-Resolution. IEEE Transactions on Geoscience and Remote Sensing, 61. 1-14 doi:10.1109/tgrs.2023.3314283
Zhu, Chunyu, Deng, Shangqi, Song, Xuan, Li, Yachao, Wang, Qi (2025) Mamba Collaborative Implicit Neural Representation for Hyperspectral and Multispectral Remote Sensing Image Fusion. IEEE Transactions on Geoscience and Remote Sensing, 63. doi:10.1109/tgrs.2025.3537638
Liu, Liqin, Zou, Zhengxia, Shi, Zhenwei (2023) Hyperspectral Remote Sensing Image Synthesis Based on Implicit Neural Spectral Mixing Models. IEEE Transactions on Geoscience and Remote Sensing, 61. 1-14 doi:10.1109/tgrs.2022.3232705
Wang, Jing, Zhou, Jun, Liu, Xinwen (2023) Toward Universal Representation Learning for Multidomain Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing, 61. 1-16 doi:10.1109/tgrs.2023.3264736
Wu, Hanlin, Ni, Ning, Zhang, Libao (2023) Learning Dynamic Scale Awareness and Global Implicit Functions for Continuous-Scale Super-Resolution of Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing, 61. 1-15 doi:10.1109/tgrs.2023.3240254
Rostami, Milad, Beheshti Shirazi, Ali Asghar (2023) Hyperspectral Image Super-Resolution via Learning an Undercomplete Dictionary and Intra-Algorithmic Postprocessing. IEEE Transactions on Geoscience and Remote Sensing, 61. 1-15 doi:10.1109/tgrs.2023.3260030
Long, Yaqian, Wang, Xun, Xu, Meng, Zhang, Shuyu, Jiang, Shuguo, Jia, Sen (2023) Dual Self-Attention Swin Transformer for Hyperspectral Image Super-Resolution. IEEE Transactions on Geoscience and Remote Sensing, 61. 1-12 doi:10.1109/tgrs.2023.3275146
Gao, Lianru, Li, Jiaxin, Zheng, Ke, Jia, Xiuping (2023) Enhanced Autoencoders With Attention-Embedded Degradation Learning for Unsupervised Hyperspectral Image Super-Resolution. IEEE Transactions on Geoscience and Remote Sensing, 61. 1-17 doi:10.1109/tgrs.2023.3267890
 
and/or  
Mindat.org is an outreach project of the Hudson Institute of Mineralogy, a 501(c)(3) not-for-profit organization.
Copyright © mindat.org and the Hudson Institute of Mineralogy 1993-2025, except where stated. Most political location boundaries are Β© OpenStreetMap contributors. Mindat.org relies on the contributions of thousands of members and supporters. Founded in 2000 by Jolyon Ralph.
To cite: Ralph, J., Von Bargen, D., Martynov, P., Zhang, J., Que, X., Prabhu, A., Morrison, S. M., Li, W., Chen, W., & Ma, X. (2025). Mindat.org: The open access mineralogy database to accelerate data-intensive geoscience research. American Mineralogist, 110(6), 833–844. doi:10.2138/am-2024-9486.
Privacy Policy - Terms & Conditions - Contact Us / DMCA issues - Report a bug/vulnerability Current server date and time: August 28, 2025 11:30:39
Go to top of page