Deep learning algorithm outperforms experienced human observer at detection of blue whale D‐calls: a double‐observer analysis-Reference-Cited by-同舟云学术

Deep learning algorithm outperforms experienced human observer at detection of blue whale D‐calls: a double‐observer analysis

Published:2022-08-24 Issue:1 Volume:9 Page:104-116
ISSN:2056-3485
Container-title:Remote Sensing in Ecology and Conservation
language:en
Short-container-title:Remote Sens Ecol Conserv

Author:

Miller Brian S.¹^ORCID,Madhusudhana Shyam²^ORCID,Aulich Meghan G.³^ORCID,Kelly Nat¹^ORCID

Affiliation:

1. Australian Antarctic Division 203 Channel Highway Kingston Tasmania Australia

2. K. Lisa Yang Center for Conservation Bioacoustics Cornell Lab of Ornithology, Cornell University Ithaca New York USA

3. Curtin University Centre for Marine Science and Technology Bentley WA Australia

Publisher

Wiley

Subject

Nature and Landscape Conservation,Computers in Earth Sciences,Ecology,Ecology, Evolution, Behavior and Systematics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/rse2.297

Reference65 articles.

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2. St. Lawrence blue whale vocalizations revisited: Characterization of calls detected from 1998 to 2001

3. Branch T.A. Monnahan C.C. Širović A. Al Harthi S. Allison C. Balcazar N.E.et al. (2021)Sc/68c/sh/17. Rep. Submitt. to Sci. Comm. Int. Whal. Comm. Sc/68c/sh/17.

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