A novel end-to-end dropout concrete autoencoder for band selection on hyperspectral images outperforms prior methods on four scenes by training directly on the target band subset.
Graph Convolutional Sub- space Clustering: A Robust Subspace Clustering Frame- work for Hyperspectral Image
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Dropout Concrete Autoencoder for Band Selection on HSI Scenes
A novel end-to-end dropout concrete autoencoder for band selection on hyperspectral images outperforms prior methods on four scenes by training directly on the target band subset.