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无监督分类提高了对半鱼的声波宽带目标强度测量的精度
Julek Chawarski1, David Coté2, Maxime Geoffroy1,3
1Centre for Fisheries Ecosystems Research, Marine Institute of Memorial University of Newfoundland and Labrador, St. John's, Newfoundland and Labrador, Canada.
The Journal of the Acoustical Society of America
|November 19, 2025
概括
我们在宽带声学数据上使用无监督异常值检测方法改进了中鱼的丰度估计. 这种技术可以过异常信号,提高海洋鱼类评估的测量精度.
科学领域:
- 海洋生物学 海洋生物学
- 声学海洋学 声学海洋学
- 渔业 科学 渔业 科学
背景情况:
- 中层鱼类繁多,对海洋生态系统和潜在的渔业至关重要.
- 使用船只声波探测器和拖网捕捞等传统方法,很难准确估计中层鱼类的分布和丰度.
- 潜水式宽带声学探头提供高分辨率,但可以引入不需要的信号.
研究的目的:
- 为了增强宽带声学目标的选择性,用于 mesopelagic 鱼类.
- 为了提高中层鱼类密度估计的准确性.
- 评估无监督异常值检测对于声学数据分析的有用性.
主要方法:
- 在潜水式宽带声学数据上采用无监督异常值检测方法.
- 在无声体积和回声痕迹中分析了频率响应变化.
- 过异常声学信号以提高目标选择性.
主要成果:
- 观测到中鱼频率响应的显著变化.
- 通过异常检测算法成功过异常信号.
- 在密度估计中减少了高达35%的正倾斜,提高了测量精度.
结论:
- 无监督的异常值检测有效地提高了从宽带声学数据中测量半层鱼密度估计的精度.
- 开发的方法为在介质鱼类评估中应用宽带回声传感器提供了有价值的见解.
- 这种方法提高了用于了解海洋鱼群的声学调查的可靠性.
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