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)
Red 4
-
Poster Session 4
Fri, February 25 5:00 PM - 6:45 PM (+00:00)
Red 4