A convolutional neural network for detecting sea turtles in drone imagery-Reference-Cited by-同舟云学术

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A convolutional neural network for detecting sea turtles in drone imagery

Published:2019-01-03 Issue:3 Volume:10 Page:345-355
ISSN:2041-210X
Container-title:Methods in Ecology and Evolution
language:en
Short-container-title:Methods Ecol Evol

Author:

Gray Patrick C.¹^ORCID,Fleishman Abram B.²,Klein David J.²,McKown Matthew W.²,Bézy Vanessa S.³,Lohmann Kenneth J.³,Johnston David W.¹

Affiliation:

1. Division of Marine Science and Conservation Nicholas School of the Environment Duke University Marine Laboratory Beaufort North Carolina

2. Conservation Metrics, Inc. Santa Cruz California

3. Department of Biology University of North Carolina at Chapel Hill Chapel Hill North Carolina

Funder

National Science Foundation

Publisher

Wiley

Subject

Ecological Modeling,Ecology, Evolution, Behavior and Systematics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/2041-210X.13132

Reference39 articles.

1. Bat detective—Deep learning tools for bat acoustic signal detection

2. Assessing the disturbance potential of small unoccupied aircraft systems (UAS) on gray seals (Halichoerus grypus) at breeding colonies in Nova Scotia, Canada

3. Multi-modal survey of Adélie penguin mega-colonies reveals the Danger Islands as a seabird hotspot

4. An approach for using off-the-shelf object-based image analysis software to detect and count birds in large volumes of aerial imagery

5. Ecological community description using the food web, species abundance, and body size

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