Algorithm for Automatic Acoustic Detection of Ship and Marine Mammals
Algorithm for Automatic Acoustic Detection of Ship and Marine Mammals
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DOI：
10.3182/20130918-4-jp-3022.00034
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发表时间：
2013
期刊：
影响因子：
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通讯作者：
A. Sakurada;T. Akamatsu;N. Umeda
中科院分区：
文献类型：
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作者：
A. Sakurada;T. Akamatsu;N. Umeda
随着商船数量、大小和航速的不断增加，水下噪声也在增加，这可能会对海洋生物造成不利影响。为了澄清这一可能的关切，需要一种测量船舶噪声和海洋生物的方法，特别是对于对船舶噪声频率范围敏感的海洋哺乳动物。为了能够同时观察海洋哺乳动物的行为和船舶噪声，本研究在传统的海豚检测算法的基础上，提出了一种船舶噪声检测算法。舰船噪声是通过消除一些自然声和海豚的声纳声而得到的。海豚声和船舶噪声都可以有效地分离，因此可以利用样本数据来识别噪声。进一步完善监控系统和算法是下一步的工作。
Abstract Responding to the increasing number, size, and speed of commercial ships, the underwater noise is also increasing which could result in a possible adverse impact on marine lives. For clarifying this possible concern, a method for measurement of ship noise and marine lives is required, especially for marine mammals which are sensitive for the frequency range of ship noise. In order to enable to observe marine mammal's behavior and the ship noise simultaneously, this study developed an algorithm to detect ship noise, added to a conventional dolphin detection algorithm. The ship noise is obtained by eliminating some nature sounds and the dolphin's sonar sound. Both dolphin's sounds and ship noises can be separated efficiently so that the noise can be identified using sample data. Further improvement of monitoring system and algorithm are future tasks.