ML Anthology

Unsupervised Identification of Materials with Hyperspectral Images

Mira Welner
AAAI 2022 pp. 13144-13145
doi:10.1609/AAAI.V36I11.21708 /aaai/2022/welner2022aaai-unsupervised/

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.

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Cite

Text

Welner. "Unsupervised Identification of Materials with Hyperspectral Images." AAAI Conference on Artificial Intelligence, 2022. doi:10.1609/AAAI.V36I11.21708

Markdown

[Welner. "Unsupervised Identification of Materials with Hyperspectral Images." AAAI Conference on Artificial Intelligence, 2022.](https://mlanthology.org/aaai/2022/welner2022aaai-unsupervised/) doi:10.1609/AAAI.V36I11.21708

BibTeX

@inproceedings{welner2022aaai-unsupervised,
  title     = {{Unsupervised Identification of Materials with Hyperspectral Images}},
  author    = {Welner, Mira},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2022},
  pages     = {13144-13145},
  doi       = {10.1609/AAAI.V36I11.21708},
  url       = {https://mlanthology.org/aaai/2022/welner2022aaai-unsupervised/}
}