DocumentCode
1570995
Title
Detection and classification of marine mammal clicks
Author
McGaughey, Donald R. ; Marcotte, David ; Korenberg, Michael J. ; Theriault, James A.
Author_Institution
R. Mil. Coll., Kingston, ON, Canada
fYear
2010
Firstpage
1
Lastpage
10
Abstract
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.
Keywords
acoustic noise; acoustic signal detection; bioacoustics; 3rd international workshop on detection; AM-FM signals; Teager-Kaiser energy operator; classification algorithm; episodal anthropogenic noise source; marine mammal classification; marine mammal clicks; marine mammal detection; marine mammal localization; power spectral density; threshold detector; Accuracy; Classification algorithms; Computational modeling; Detectors; Frequency modulation; Libraries; Whales;
fLanguage
English
Publisher
ieee
Conference_Titel
OCEANS 2010
Conference_Location
Seattle, WA
Print_ISBN
978-1-4244-4332-1
Type
conf
DOI
10.1109/OCEANS.2010.5664576
Filename
5664576
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