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- W4312448875 abstract "Hyperspectral (HS) pansharpening synthesizes low spatial resolution HS (LRHS) images and connected panchromatic (PAN) images to form high spatial resolution HS (HRHS) images. A major problem that such a task is faced with is the huge spectral gap between the two kinds of data. To handle that, in this work we propose a spectrally coarse-to-fine network (SCFNet) to recover the HRHS images, which combines the LRHS images and the PAN images to build multiple low spectral resolution HRHS images in several spectral resolution levels, and then fuse them into the final HRHS images. Experiments are conducted to compare the proposed method with some of representative techniques, where the superiority of our method is validated." @default.
- W4312448875 created "2023-01-04" @default.
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- W4312448875 date "2022-09-13" @default.
- W4312448875 modified "2023-10-18" @default.
- W4312448875 title "Spectrally Coarse-To-Fine Pansharpening For Hyperspectral Images" @default.
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- W4312448875 doi "https://doi.org/10.1109/whispers56178.2022.9955078" @default.
- W4312448875 hasPublicationYear "2022" @default.
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