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首页> 外文期刊>ICES Journal of Marine Science >Time-based signal characteristics as predictors of fish size and species for a side-looking hydroacoustic application in a river
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Time-based signal characteristics as predictors of fish size and species for a side-looking hydroacoustic application in a river

机译:基于时间的信号特征可预测河流中水声声波应用中鱼类的大小和种类

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摘要

Side-looking, fixed-location sonar is used to estimate the abundance of migrating chinook salmon Oncorhynchus tshawytscka in the Kenai River, Alaska. For this application, echo-envelope length has previously been shown to predict fish size better than target strength. Using tethered-fish experiments we generalize these findings to other hydroacoustic descriptors based on time measurements, including range-measurement variability and fish lateral movement. These variables are all descriptors of the echo signal through time. Measurements of these attributes were correlated with daily indices of the species composition of unrestrained fish passing the sonar site. We hypothesize that time-based characteristics are superior predictors of fish size because they capitalize on, or are robust to, the factors which compromise amplitude-based measurements with side-looking sonar.
机译:侧面固定位置声纳用于估算在阿拉斯加基奈河中迁移的奇努克鲑Oncorhynchus tshawytscka的丰度。对于此应用程序,回波包络长度先前已显示出比目标强度更好地预测鱼的大小。使用拴系鱼类实验,我们基于时间测量将这些发现推广到其他水声描述符,包括距离测量变异性和鱼的侧向运动。这些变量都是随时间变化的回波信号的描述符。这些属性的测量值与通过声纳站点的不受约束的鱼类的物种组成的每日指数相关。我们假设基于时间的特征是鱼类大小的较好预测指标,因为它们利用或稳健了影响侧视声纳基于幅度的测量的因素。

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