Deep Spectral Super-Resolution with Noisy Input
Published in IGARSS, 2019
This paper proposed an unsupervised deep spectral super-resolution method, which employs a DCNN to generate the latent HSI from an input RGB and encourages it to fit the input RGB image through down-sampling in spectral domain as well as a sparse gradient prior in spatial domain.
Recommended citation: Z. Lang, L. Zhang, W. Wei, J. Nie, C. Tian and Y. Zhang, "Deep Spectral Super-Resolution with Noisy Input," IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019, pp. 624-627, doi: 10.1109/IGARSS.2019.8900510. https://ieeexplore.ieee.org/document/8900510