Poster #20: Alex Hamrick – Hyperspectral Image Recovery from Image Sensor Data Using Neural Networks

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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.

Click below to hear me present my poster!
Questions or comments? Contact me at: u1126365@utah.edu

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