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Towards estimating marine wildlife abundance using aerial surveys and deep learning with hierarchical classifications subject to error

2023-02-21

Abstract excerpt

Aerial count surveys of wildlife populations are a prominent monitoring method for many wildlife species. Traditionally, these surveys utilize human observers to detect, count, and classify observations to species. However, given recent technological advances, many research groups are exploring the combined use of remote sensing and deep learning methods to replace human observers in order to improve data quality...

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Literature Corpus work
6aae961c-c8f5-5cb7-984b-1764c7539764
DOI
10.1101/2023.02.20.529272
Open publication

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Towards estimating marine wildlife abundance using aerial surveys and deep learning with hierarchical classifications subject to errorDOI 10.1101/2023.02.20.529272
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