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Spectral Image Visualization Using Generative Adversarial Networks
The adversarial loss pushes our solution to the natural image distribution using a discriminator network that is trained to differentiate between false-color images and natural-color images.
Visualization of Hyperspectral Images Using Moving Least Squares
The matching pixels between a pair of HSI and RGB image can be reused to display other HSIs captured b the same imaging sensor with natural colors.
Constrained Manifold Learning for Hyperspectral Imagery Visualization
A composite kernel is applied in manifold learning to incorporate both the spatial and spectral information of HSI in the embedded space.
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