能量比映射算法：一种提高基于能量的齿鲸声纳 click 检测的工具。

The energy ratio mapping algorithm: a tool to improve the energy-based detection of odontocete echolocation clicks.

机构信息

Cooperative Institute for Marine Resources Studies, Oregon State University and NOAA Pacific Marine Environmental Laboratory, 2030 Southeast Marine Science Drive, Newport, Oregon 97365, USA.

出版信息

J Acoust Soc Am. 2011 Apr;129(4):1807-12. doi: 10.1121/1.3531924.

DOI:10.1121/1.3531924

PMID:21476637

Abstract

The energy ratio mapping algorithm (ERMA) was developed to improve the performance of energy-based detection of odontocete echolocation clicks, especially for application in environments with limited computational power and energy such as acoustic gliders. ERMA systematically evaluates many frequency bands for energy ratio-based detection of echolocation clicks produced by a target species in the presence of the species mix in a given geographic area. To evaluate the performance of ERMA, a Teager-Kaiser energy operator was applied to the series of energy ratios as derived by ERMA. A noise-adaptive threshold was then applied to the Teager-Kaiser function to identify clicks in data sets. The method was tested for detecting clicks of Blainville's beaked whales while rejecting echolocation clicks of Risso's dolphins and pilot whales. Results showed that the ERMA-based detector correctly identified 81.6% of the beaked whale clicks in an extended evaluation data set. Average false-positive detection rate was 6.3% (3.4% for Risso's dolphins and 2.9% for pilot whales).

摘要

能量比映射算法（ERMA）旨在提高基于能量的齿鲸声纳 click 检测性能，特别是在计算能力和能量有限的环境中，如声学滑翔机。ERMA 系统地评估了许多频带，以基于能量比检测给定地理区域中物种混合环境下目标物种产生的声纳 click。为了评估 ERMA 的性能，将 Teager-Kaiser 能量算子应用于 ERMA 导出的一系列能量比。然后，将自适应噪声阈值应用于 Teager-Kaiser 函数，以识别数据集中的 click。该方法用于检测 Blainville 喙鲸的 click，同时拒绝抹香鲸和领航鲸的声纳 click。结果表明，基于 ERMA 的检测器在扩展评估数据集正确识别了 81.6%的喙鲸 click。平均误报检测率为 6.3%（抹香鲸为 3.4%，领航鲸为 2.9%）。