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
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;
Conference_Titel :
OCEANS 2010
Conference_Location :
Seattle, WA
Print_ISBN :
978-1-4244-4332-1
DOI :
10.1109/OCEANS.2010.5664576