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Using vessel acoustics to detect diving patterns of krill foraging predators automatically: development of a novel method for quantifying impact of krill fishing on seals and penguins | |
Klevjer, Thor Aleksander; Krafft, Bjørn Arne; Godø, Olav Rune | |
2015-06-20 | |
出版年 | 2015 |
语种 | 英语 |
国家 | 挪威 |
出版者 | CCAMLR |
领域 | 气候变化 |
英文摘要 | The aim of this work was to assess the possibilities of automatically generating a dataset of dive behaviour of air-breathing predators, based on acoustic data from a monitoring survey and from commercial krill fishing operations. Our results documents that some form of automatic detection of diving predators in the data is feasible. A relatively low detection probability of our algorithms compared to the manual detections, suggest that there is significant room for improvement. Given the caveats of an imperfect methodology, the results document the possibilities to automatically extract, with a reasonable level of precision, data on the dive behaviour of air-breathing predators from the echo-sounder data |
URL | 查看原文 |
来源平台 | Center for International Climate and Environmental Research-Oslo (CICERO) |
文献类型 | 科技报告 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/2173 |
专题 | 气候变化 |
推荐引用方式 GB/T 7714 | Klevjer, Thor Aleksander,Krafft, Bjørn Arne,Godø, Olav Rune. Using vessel acoustics to detect diving patterns of krill foraging predators automatically: development of a novel method for quantifying impact of krill fishing on seals and penguins:CCAMLR,2015. |
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