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Found 2 papers, 1 papers with code
AeroRIT: A New Scene for Hyperspectral Image Analysis
We investigate applying convolutional neural network (CNN) architecture to facilitate aerial hyperspectral scene understanding and present a new hyperspectral dataset-AeroRIT-that is large enough for CNN training.
Aerial Spectral Super-Resolution using Conditional Adversarial Networks
In contrast to the spectra of ground based images, aerial spectral images have low spatial resolution and suffer from higher noise interference.
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