Faculty mentor: Rajesh Menon
We propose a network architecture, SieveNet, for generating hyperspectral images from image sensor data. We demonstrate, with synthetic data, that CNNs show promise in their ability to produce spatially and spectrally accurate hyperspectral images, while doing so in practically no time compared to other regression based techniques.
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