海洋哺乳动物咔哒声的检测与分类

D. McGaughey, D. Marcotte, M. Korenberg, J. Theriault
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引用次数: 5

摘要

对偶发人为噪声源影响区内的海洋哺乳动物进行检测,对于确保动物的安全至关重要。海洋哺乳动物的滴答声是由调幅/调频信号密切模拟的。Teager-Kaiser能量算子和阈值检测器提供了一种检测AM/FM信号的有效手段。产生咔哒声的物种分类是通过找到接收到的咔哒声的功率谱密度(PSD)与已识别的咔哒声的功率谱密度(PSD)之间的最大交叉协方差来完成的。当交叉协方差低于预定义阈值时,分类算法将创建一个新的库条目。利用第三届国际海洋哺乳动物检测、分类和定位研讨会(DCL)的数据对5种海洋哺乳动物进行了分类。提出了一种计算成本低、检测概率高、分类正确的海洋哺乳动物检测分类算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Detection and classification of marine mammal clicks
Detection of marine mammals within an influence zone of episodal anthropogenic noise source is critical to insure the safety of the animals. Marine mammal clicks are closely modeled by AM/FM signals. The Teager-Kaiser energy operator followed by a threshold detector provides an effective means of detecting AM/FM signals. Classification of the species generating the click is done by finding the maximum cross-covariance between the power spectral density (PSD) of the received click and the PSDs of clicks which have been identified. The classification algorithm will create a new library entry when the cross-covariance is below a predefined threshold. Five species of marine mammals were classified using data from the 3rd International Workshop on Detection, Classification and Localization of Marine Mammals (DCL). This paper presented a computationally-inexpensive marine mammal detection and classification algorithm with high probabilities of detection and correct classification.
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