Angle-independent spectropolarimetric target classification using machine learning.

Watson AJ, Cunningham PB, Keyser CK, Adams A, Goldstein DH

DOI: 10.1364/ao.555935
Published: 2025 Aug 1
Container: Applied optics
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1364/ao.555935,
  title = {Angle-independent spectropolarimetric target classification using machine learning.},
  author = {Watson AJ and Cunningham PB and Keyser CK and Adams A and Goldstein DH},
  year = {2025},
  journal = {Applied optics},
  doi = {10.1364/ao.555935},
  url = {https://doi.org/10.1364/ao.555935}
}

RIS

TY  - JOUR
TI  - Angle-independent spectropolarimetric target classification using machine learning.
AU  - Watson AJ
AU  - Cunningham PB
AU  - Keyser CK
AU  - Adams A
AU  - Goldstein DH
PY  - 2025
JO  - Applied optics
DO  - 10.1364/ao.555935
UR  - https://doi.org/10.1364/ao.555935
ER  -

APA

AJ, W., PB, C., CK, K., A, A., & DH, G. (2025). Angle-independent spectropolarimetric target classification using machine learning.. Applied optics. https://doi.org/10.1364/ao.555935

Source records

pubmed · retrieved 2026-09-25T02:10:56.987Z