The study [ 4 ] employed randomized PCA to find principal components that contained 99% of the variance along a spectral dimension and achieved extremely significant accuracy with a deep CNN.
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Robust Spatial-Spectral Squeeze-Excitation AdaBound Dense Network (SE-AB-Densenet) for Hyperspectral Image Classification.
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