EARS buoy applications by LADC: I. marine animal acoustics

G. Ioup, J. Ioup, L. A. Pflug, Arslan M. Tashmukhambetov, N. Sidorovskaia, P. Schexnayder, C. Tiemann, Alan Bernstein, S. Kuczaj, G. H. Rayborn, J. Newcomb, R. Carlson, A. Ekimov
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Abstract

Littoral Acoustic Demonstration Center (LADC) scientists have investigated sperm and beaked whale clicks as recorded on Environmental Acoustic Recording System (EARS) buoys to analyze whale behavior and the possibility of identifying individual whales acoustically. The research began in 2001 and continues through the present. LADC has conducted three experiments in the northern Gulf of Mexico and participated with the Naval Undersea Research Centre with three experiments in the Ligurian Sea. Initially the research centered on sperm whale coda clicks and echolocation clicks. In 2007 it was extended to the study of beaked whale echolocation clicks. The measured data suggest that click properties can be used to identify individual whales. Initially the identifications were done by grouping clicks using self-organizing maps and other means of cluster analysis. Each cluster or class represents an individual whale. These methods have been refined and have become reasonably robust. Verification of the identification has been a problem since using visual observations has not been satisfactory. Presently localization of the clicking animals is being coupled with cluster analysis to verify the identifications. A new finding that rhythms of echolocation clicks can be used to identify sperm whale individuals is now a part of the research, and cluster analysis, rhythm analysis, and localization are mutually reinforcing the identifications. Other results using EARS buoys for marine animal acoustics are listed among the key findings of LADC acoustic research.
LADC的EARS浮标应用:1 .海洋动物声学
沿海声学演示中心(LADC)的科学家们研究了环境声学记录系统(EARS)浮标上记录的抹香鲸和喙鲸的咔嚓声,以分析鲸鱼的行为和声学识别鲸鱼个体的可能性。这项研究从2001年开始,一直持续到现在。海洋研究中心在墨西哥湾北部进行了三次实验,并与海军海底研究中心一起在利古里亚海进行了三次实验。最初的研究集中在抹香鲸的尾声和回声定位声上。2007年,它被扩展到研究喙鲸的回声定位滴答声。测量数据表明,点击属性可以用来识别单个鲸鱼用户。最初的识别是通过使用自组织图和其他聚类分析方法对点击进行分组来完成的。每个集群或类代表一个单独的鲸鱼。这些方法经过改进,变得相当可靠。由于使用目视观察并不令人满意,因此身份的核查一直是个问题。目前,点击动物的定位正在与聚类分析相结合,以验证识别。一个新的发现,回声定位的节奏可以用来识别抹香鲸个体,现在是研究的一部分,聚类分析,节奏分析和定位是相互加强识别。利用EARS浮标研究海洋动物声学的其他结果被列为LADC声学研究的重要发现。
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