When Lie Groups Meet Hyperspectral Images: Equivariant Manifold Network for Few-Shot HSI Classification.

Ban H, Feng J, Liu Z, Jiang Y, Wang Z, Liu J, Hu Y, Lin Y

Open source

DOI
10.3390/s26072117
Published
2026 Mar 29
Container
Sensors (Basel, Switzerland)
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.3390/s26072117,
  title = {When Lie Groups Meet Hyperspectral Images: Equivariant Manifold Network for Few-Shot HSI Classification.},
  author = {Ban H and Feng J and Liu Z and Jiang Y and Wang Z and Liu J and Hu Y and Lin Y},
  year = {2026},
  journal = {Sensors (Basel, Switzerland)},
  doi = {10.3390/s26072117},
  url = {https://doi.org/10.3390/s26072117}
}

RIS

TY  - JOUR
TI  - When Lie Groups Meet Hyperspectral Images: Equivariant Manifold Network for Few-Shot HSI Classification.
AU  - Ban H
AU  - Feng J
AU  - Liu Z
AU  - Jiang Y
AU  - Wang Z
AU  - Liu J
AU  - Hu Y
AU  - Lin Y
PY  - 2026
JO  - Sensors (Basel, Switzerland)
DO  - 10.3390/s26072117
UR  - https://doi.org/10.3390/s26072117
ER  -

APA

H, B., J, F., Z, L., Y, J., Z, W., J, L., Y, H., & Y, L. (2026). When Lie Groups Meet Hyperspectral Images: Equivariant Manifold Network for Few-Shot HSI Classification.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s26072117

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