Rotation Equivariant Convolutional Neural Networks for Hyperspectral Image Classification
- DOI
- 10.1109/access.2020.3027776
- Published
- 2020
- Container
- IEEE Access
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/access.2020.3027776,
title = {Rotation Equivariant Convolutional Neural Networks for Hyperspectral Image Classification},
author = {Mercedes E. Paoletti and Juan M. Haut and Swalpa Kumar Roy and Eligius M. T. Hendrix},
year = {2020},
journal = {IEEE Access},
doi = {10.1109/access.2020.3027776},
url = {https://doi.org/10.1109/access.2020.3027776}
}RIS
TY - JOUR TI - Rotation Equivariant Convolutional Neural Networks for Hyperspectral Image Classification AU - Mercedes E. Paoletti AU - Juan M. Haut AU - Swalpa Kumar Roy AU - Eligius M. T. Hendrix PY - 2020 JO - IEEE Access DO - 10.1109/access.2020.3027776 UR - https://doi.org/10.1109/access.2020.3027776 ER -
APA
Paoletti, M. E., Haut, J. M., Roy, S. K., & Hendrix, E. M. T. (2020). Rotation Equivariant Convolutional Neural Networks for Hyperspectral Image Classification. IEEE Access. https://doi.org/10.1109/access.2020.3027776
Source records
- crossref · retrieved 2026-09-26T00:27:09.564Z