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Geographic Generalization in Airborne RGB Deep Learning Tree Detection

Ben. G. Weinstein, Sergio Marconi, Stephanie A. Bohlman, Alina Zare, Ethan P. White
doi: https://doi.org/10.1101/790071
Ben. G. Weinstein
1Department of Wildlife Ecology and Conservation, University of Florida, Gainesville, Florida, USA
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  • For correspondence: ben.weinstein@weecology.org
Sergio Marconi
1Department of Wildlife Ecology and Conservation, University of Florida, Gainesville, Florida, USA
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Stephanie A. Bohlman
2School of Forest Resources and Conservation, University of Florida, Gainesville, Florida, USA
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Alina Zare
3Department of Electrical and Computer Engineering, University of Florida, Gainesville, Florida, USA
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Ethan P. White
1Department of Wildlife Ecology and Conservation, University of Florida, Gainesville, Florida, USA
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Article Information

doi 
https://doi.org/10.1101/790071
History 
  • October 2, 2019.
Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.

Author Information

  1. Ben. G. Weinstein1,*,
  2. Sergio Marconi1,
  3. Stephanie A. Bohlman2,
  4. Alina Zare3 and
  5. Ethan P. White1
  1. 1Department of Wildlife Ecology and Conservation, University of Florida, Gainesville, Florida, USA
  2. 2School of Forest Resources and Conservation, University of Florida, Gainesville, Florida, USA
  3. 3Department of Electrical and Computer Engineering, University of Florida, Gainesville, Florida, USA
  1. ↵*Corresponding author; email: ben.weinstein{at}weecology.org
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Posted October 02, 2019.
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Geographic Generalization in Airborne RGB Deep Learning Tree Detection
Ben. G. Weinstein, Sergio Marconi, Stephanie A. Bohlman, Alina Zare, Ethan P. White
bioRxiv 790071; doi: https://doi.org/10.1101/790071
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Geographic Generalization in Airborne RGB Deep Learning Tree Detection
Ben. G. Weinstein, Sergio Marconi, Stephanie A. Bohlman, Alina Zare, Ethan P. White
bioRxiv 790071; doi: https://doi.org/10.1101/790071

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