Corpus ID: 139104813

Unsupervised and Unregistered Hyperspectral Image Super-Resolution with Mutual Dirichlet-Net

@article{Qu2019UnsupervisedAU,
  title={Unsupervised and Unregistered Hyperspectral Image Super-Resolution with Mutual Dirichlet-Net},
  author={Ying Qu and H. Qi and C. Kwan},
  journal={ArXiv},
  year={2019},
  volume={abs/1904.12175}
}
  • Ying Qu, H. Qi, C. Kwan
  • Published 2019
  • Computer Science, Engineering
  • ArXiv
  • Hyperspectral images (HSI) provide rich spectral information that contributed to the successful performance improvement of numerous computer vision tasks. However, it can only be achieved at the expense of images' spatial resolution. Hyperspectral image super-resolution (HSI-SR) addresses this problem by fusing low resolution (LR) HSI with multispectral image (MSI) carrying much higher spatial resolution (HR). All existing HSI-SR approaches require the LR HSI and HR MSI to be well registered… CONTINUE READING
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    Spatial Resolution Enhancement of Remote Sensing Hyperspectral Images With Localized Spatial-Spectral Dictionary Pair
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