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eess.IV2023
Self-Supervised Hyperspectral Inpainting with the Optimisation inspired Deep Neural Network Prior
Shuo Li, Mehrdad Yaghoobi
Hyperspectral Image (HSI)s cover hundreds or thousands of narrow spectral bands, conveying a wealth of spatial and spectral information. However, due to the instrumental errors and…
eess.IV2023
Self-supervised Deep Hyperspectral Inpainting with the Sparsity and Low-Rank Considerations
Shuo Li, Mehrdad Yaghoobi
Hyperspectral images are typically composed of hundreds of narrow and contiguous spectral bands, each containing information about the material composition of the imaged scene. How…