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Imaging sonar tracking of salmon for size and tail beat frequency

机译:成像声纳跟踪鲑鱼的大小和尾巴拍动频率

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In order to set sustainable harvest limits on anadro-mous fish, fishery managers require a method for estimating return numbers of individual species. As seasonal migration times of several returning species may overlap, simple fish counts are insufficient. This paper presents an algorithm for tracking fish crossing an insonified area using an extended Gaussian mixture probability hypothesis density filter as well as analyzing both their lengths and the frequency of their tail beats. The combination of the two provides a useful estimate of the return size of a given fish species when combined with seasonal return timing. The algorithm is tested against data collected using a dual frequency imaging sonar on the Kenai River in Alaska and compares favorably to estimates made by manual inspection and sub-sampling.
机译:为了对无水鱼类设定可持续的捕捞限额,渔业管理人员需要一种估算单个物种的返回数量的方法。由于几种返回物种的季节性迁徙时间可能会重叠,因此简单的鱼类数量是不够的。本文提出了一种算法,该算法使用扩展的高斯混合概率假设密度过滤器跟踪穿过声纳区域的鱼,并分析了鱼的长度和尾巴拍打的频率。当结合季节性返回时间时,两者的结合可以对给定鱼类的返回大小提供有用的估计。该算法针对在阿拉斯加基奈河上使用双频成像声纳采集的数据进行了测试,与手动检查和二次采样得出的估计值相比具有优势。

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