Hyperspectral Visual Embedding Convolutions for Hyperspectral Imaging

Hyperspectral recordings approximate the spectrum for each pixel of the image. Therefore, the number of channels is increased (to around 200), and the range of recorded wavelengths is extended.

Data and Resources

Cite this as

Leon Amadeus Varga, Martin Messmer, Nuri Benbarka, Andreas Zell (2024). Dataset: Hyperspectral Visual Embedding Convolutions for Hyperspectral Imaging. https://doi.org/10.57702/ynfsniuh

DOI retrieved: December 16, 2024

Additional Info

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Created December 16, 2024
Last update December 16, 2024
Defined In https://doi.org/10.48550/arXiv.2209.03136
Author Leon Amadeus Varga
More Authors
Martin Messmer
Nuri Benbarka
Andreas Zell
Homepage https://github.com/cogsys-tuebingen/hyve_conv