Watch the Dallas Symposium LIVE, and fundraiser auction
Ticket proceeds support mindat.org! - click here...
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

Sun, Weiwei, Yang, Gang, Peng, Jiangtao, Meng, Xiangchao, He, Ke, Li, Wei, Li, Heng-Chao, Du, Qian (2022) A Multiscale Spectral Features Graph Fusion Method for Hyperspectral Band Selection. IEEE Transactions on Geoscience and Remote Sensing, 60. 1-12 doi:10.1109/tgrs.2021.3102246

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitleA Multiscale Spectral Features Graph Fusion Method for Hyperspectral Band Selection
JournalIEEE Transactions on Geoscience and Remote Sensing
AuthorsSun, WeiweiAuthor
Yang, GangAuthor
Peng, JiangtaoAuthor
Meng, XiangchaoAuthor
He, KeAuthor
Li, WeiAuthor
Li, Heng-ChaoAuthor
Du, QianAuthor
Year2022Volume60
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
DOIdoi:10.1109/tgrs.2021.3102246Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID15557652Long-form Identifiermindat:1:5:15557652:2
GUID0
Full ReferenceSun, Weiwei, Yang, Gang, Peng, Jiangtao, Meng, Xiangchao, He, Ke, Li, Wei, Li, Heng-Chao, Du, Qian (2022) A Multiscale Spectral Features Graph Fusion Method for Hyperspectral Band Selection. IEEE Transactions on Geoscience and Remote Sensing, 60. 1-12 doi:10.1109/tgrs.2021.3102246
Plain TextSun, Weiwei, Yang, Gang, Peng, Jiangtao, Meng, Xiangchao, He, Ke, Li, Wei, Li, Heng-Chao, Du, Qian (2022) A Multiscale Spectral Features Graph Fusion Method for Hyperspectral Band Selection. IEEE Transactions on Geoscience and Remote Sensing, 60. 1-12 doi:10.1109/tgrs.2021.3102246
In(2022) IEEE Transactions on Geoscience and Remote Sensing Vol. 60. Institute of Electrical and Electronics Engineers (IEEE)

See Also

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

Sun, Weiwei, Ren, Kai, Meng, Xiangchao, Xiao, Chenchao, Yang, Gang, Peng, Jiangtao (2022) A Band Divide-and-Conquer Multispectral and Hyperspectral Image Fusion Method. IEEE Transactions on Geoscience and Remote Sensing, 60. 1-13 doi:10.1109/tgrs.2020.3046321
Sun, Weiwei, Shao, Wenjing, Peng, Jiangtao, Yang, Gang, Meng, Xiangchao, Du, Qian (2022) Multiscale Low-Rank Spatial Features for Hyperspectral Image Classification. IEEE Geoscience and Remote Sensing Letters, 19. 1-5 doi:10.1109/lgrs.2020.3034631
Sun, Weiwei, He, Ke, Yang, Gang, Peng, Jiangtao, Ren, Kai, Li, Jiancheng (2024) A Cross-Scene Self-Representative Network for Hyperspectral Band Selection. IEEE Transactions on Geoscience and Remote Sensing, 62. 1-12 doi:10.1109/tgrs.2024.3362994
Ren, Kai, Sun, Weiwei, Meng, Xiangchao, Yang, Gang, Peng, Jiangtao, Huang, Jingfeng (2022) A Locally Optimized Model for Hyperspectral and Multispectral Images Fusion. IEEE Transactions on Geoscience and Remote Sensing, 60. 1-15 doi:10.1109/tgrs.2021.3133670
Peng, Jiangtao, Sun, Weiwei, Li, Heng-Chao, Li, Wei, Meng, Xiangchao, Ge, Chiru, Du, Qian (2022) Low-Rank and Sparse Representation for Hyperspectral Image Processing: A review. IEEE Geoscience and Remote Sensing Magazine, 10 (1) 10-43 doi:10.1109/mgrs.2021.3075491
Li, Huiyang, Ren, Kai, Sun, Weiwei, Yang, Gang, Meng, Xiangchao (2024) Multiscale Spatial–Spectral Invertible Compensation Network for Hyperspectral Remote Sensing Image Denoising. IEEE Transactions on Geoscience and Remote Sensing, 62. doi:10.1109/tgrs.2024.3457010
Ren, Kai, Sun, Weiwei, Yang, Gang, Meng, Xiangchao, Peng, Jiangtao, Li, Huiyang (2024) Multistage Hybrid Denoising Network for Satellite Hyperspectral Images. IEEE Transactions on Geoscience and Remote Sensing, 62. doi:10.1109/tgrs.2024.3473934
Sun, Weiwei, Ren, Kai, Meng, Xiangchao, Yang, Gang, Peng, Jiangtao, Li, Jiancheng (2023) Unsupervised 3-D Tensor Subspace Decomposition Network for Spatial–Temporal–Spectral Fusion of Hyperspectral and Multispectral Images. IEEE Transactions on Geoscience and Remote Sensing, 61. 1-17 doi:10.1109/tgrs.2023.3324028
Sun, Weiwei, Peng, Jiangtao, Yang, Gang, Du, Qian (2020) Fast and Latent Low-Rank Subspace Clustering for Hyperspectral Band Selection. IEEE Transactions on Geoscience and Remote Sensing, 58 (6) 3906-3915 doi:10.1109/tgrs.2019.2959342
Weng, Jiawen; Sun, Weiwei; Ren, Kai; Yang, Gang; Meng, Xiangchao; Peng, Jiangtao (2025) Dual-Domain Aligned Temporal–Spatial–Spectral Fusion Networks for No-Paired Hyperspectral and Multispectral Images. IEEE Transactions on Geoscience and Remote Sensing, 63. doi:10.1109/tgrs.2025.3590052
Liu, Weiwei, Liu, Kai, Sun, Weiwei, Yang, Gang, Ren, Kai, Meng, Xiangchao, Peng, Jiangtao (2023) Self-Supervised Feature Learning Based on Spectral Masking for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing, 61. 1-15 doi:10.1109/tgrs.2023.3310489
 
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 © 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 19, 2025 09:32:03
Go to top of page