A general deep learning model for bird detection in high‐resolution airborne imagery
- DOI
- 10.1002/eap.2694
- Published
- 2022-08-10
- Container
- Ecological Applications
- Publisher
- Wiley
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1002/eap.2694,
title = {A general deep learning model for bird detection in high‐resolution airborne imagery},
author = {Ben G. Weinstein and Lindsey Garner and Vienna R. Saccomanno and Ashley Steinkraus and Andrew Ortega and Kristen Brush and Glenda Yenni and Ann E. McKellar and Rowan Converse and Christopher D. Lippitt and Alex Wegmann and Nick D. Holmes and Alice J. Edney and Tom Hart and Mark J. Jessopp and Rohan H. Clarke and Dominik Marchowski and Henry Senyondo and Ryan Dotson and Ethan P. White and Peter Frederick and S. K. Morgan Ernest},
year = {2022},
journal = {Ecological Applications},
doi = {10.1002/eap.2694},
url = {https://doi.org/10.1002/eap.2694}
}RIS
TY - JOUR TI - A general deep learning model for bird detection in high‐resolution airborne imagery AU - Ben G. Weinstein AU - Lindsey Garner AU - Vienna R. Saccomanno AU - Ashley Steinkraus AU - Andrew Ortega AU - Kristen Brush AU - Glenda Yenni AU - Ann E. McKellar AU - Rowan Converse AU - Christopher D. Lippitt AU - Alex Wegmann AU - Nick D. Holmes AU - Alice J. Edney AU - Tom Hart AU - Mark J. Jessopp AU - Rohan H. Clarke AU - Dominik Marchowski AU - Henry Senyondo AU - Ryan Dotson AU - Ethan P. White AU - Peter Frederick AU - S. K. Morgan Ernest PY - 2022 JO - Ecological Applications DO - 10.1002/eap.2694 UR - https://doi.org/10.1002/eap.2694 ER -
APA
Weinstein, B. G., Garner, L., Saccomanno, V. R., Steinkraus, A., Ortega, A., Brush, K., Yenni, G., McKellar, A. E., Converse, R., Lippitt, C. D., Wegmann, A., Holmes, N. D., Edney, A. J., Hart, T., Jessopp, M. J., Clarke, R. H., Marchowski, D., Senyondo, H., Dotson, R., White, E. P., Frederick, P., & Ernest, S. K. M. (2022). A general deep learning model for bird detection in high‐resolution airborne imagery. Ecological Applications. https://doi.org/10.1002/eap.2694
Source records
- crossref · retrieved 2026-09-25T14:46:07.952Z