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Aerial-trained deep learning networks for surveying cetaceans from satellite imagery
Most cetacean species are wide-ranging and highly mobile, creating significant challenges for researchers by limiting the scope of data that can be collected and leaving large areas un-surveyed. Aerial surveys have proven an effective way to locate and study cetacean movements but are costly and lim...
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| Publicado no: | PLoS One |
|---|---|
| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6772036/ https://ncbi.nlm.nih.gov/pubmed/31574136 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0212532 |
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