Transfer learning from citizen science photographs enables plant species identification in UAV imagery
- DOI
- 10.1016/j.ophoto.2022.100016
- Published
- 2022-08
- Container
- ISPRS Open Journal of Photogrammetry and Remote Sensing
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.ophoto.2022.100016,
title = {Transfer learning from citizen science photographs enables plant species identification in UAV imagery},
author = {Salim Soltani and Hannes Feilhauer and Robbert Duker and Teja Kattenborn},
year = {2022},
journal = {ISPRS Open Journal of Photogrammetry and Remote Sensing},
doi = {10.1016/j.ophoto.2022.100016},
url = {https://doi.org/10.1016/j.ophoto.2022.100016}
}RIS
TY - JOUR TI - Transfer learning from citizen science photographs enables plant species identification in UAV imagery AU - Salim Soltani AU - Hannes Feilhauer AU - Robbert Duker AU - Teja Kattenborn PY - 2022 JO - ISPRS Open Journal of Photogrammetry and Remote Sensing DO - 10.1016/j.ophoto.2022.100016 UR - https://doi.org/10.1016/j.ophoto.2022.100016 ER -
APA
Soltani, S., Feilhauer, H., Duker, R., & Kattenborn, T. (2022). Transfer learning from citizen science photographs enables plant species identification in UAV imagery. ISPRS Open Journal of Photogrammetry and Remote Sensing. https://doi.org/10.1016/j.ophoto.2022.100016
Source records
- crossref · retrieved 2026-09-26T16:15:47.769Z