Automatic active acoustic target detection in turbulent aquatic environments
Automatic active acoustic target detection in turbulent aquatic environments
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DOI：
10.1002/lom3.10155
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发表时间：
2017-02
期刊：
影响因子：
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通讯作者：
S. Fraser;V. Nikora;B. Williamson;B. Scott
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文献类型：
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作者：
S. Fraser;V. Nikora;B. Williamson;B. Scott
在高度动态的水环境中，强物理干扰意味着标准技术不适用，因此没有既定的办法来处理对生物目标的主动声学探测。在海洋能源开采场等具有新兴工业意义的重要生态环境中，这是一个特别的问题。我们开发了一种自动处理方法，它允许有效的目标检测，在整个可变的声学条件下具有高灵敏度。该方法基于数据的尺度相关自适应滤波和短尺度后向散射贡献的形态学分析，以排除强烈的湍流特征和隔离生物目标。在潮汐通道中海洋能源基础设施周围部署回声测深仪平台提供了测试数据，证明了所提出的方法的有效性。通过多频特性分析和直接检测进行目标验证和评估。结果提供了有效的，定量的，可重复的生态相互作用和目标分布的评估与明确的影响，在高能量的网站和有前途的应用程序在其他情况下的环境评估。
There is no established approach for dealing with the active acoustic detection of biological targets in highly dynamic aquatic environments where intense physical interference means that standard techniques are unsuitable. This is a particular problem in ecologically important environments with emerging industrial significance such as marine energy extraction sites. We developed an automatic processing method which allows effective target detection with high sensitivity throughout variable acoustic conditions. The method is based on scale‐dependent adaptive filtering of data and morphological analysis of short‐scale backscatter contributions for the exclusion of intense turbulent features and isolation of biological targets. Echosounder platform deployments around marine energy infrastructure in a tidal channel provide test data which demonstrate the effectiveness of the proposed approach. Target validation and assessment is carried out by the analysis of multifrequency characteristics and direct inspection. The results deliver effective, quantitative, and repeatable assessment of ecological interactions and target distributions with clear implications for environmental assessment in high energy sites and promising applications in other contexts.