Unsupervised Identification of Materials with Hyperspectral Images

Mira E Welner

[AAAI-22] Undergraduate Consortium
Abstract: We introduce a novel technique to identify three spectra representing the three primary materials in a hyperspectral image of a scene. We accomplish this using a modified autoencoder. Further research will be conducted to verify the accuracy of these spectra.

Sessions where this paper appears

  • Poster Session 3

    Fri, February 25 8:45 AM - 10:30 AM (+00:00)
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  • Poster Session 4

    Fri, February 25 5:00 PM - 6:45 PM (+00:00)
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