Comparing Performances of Five Distinct Automatic Classifiers for Fin Whale Vocalizations in Beamformed Spectrograms of Coherent Hydrophone Array

Comparing Performances of Five Distinct Automatic Classifiers for Fin Whale Vocalizations in Beamformed Spectrograms of Coherent Hydrophone Array

A large variety of sound sources in the ocean, including biological, geophysical, and man-made, can be simultaneously monitored over instantaneous continental-shelf scale regions via the passive ocean acoustic waveguide remote sensing (POAWRS) technique by employing a large-aperture densely-populate...

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Bibliographic Details
Main Authors: Heriberto A. Garcia, Trenton Couture, Amit Galor, Jessica M. Topple, Wei Huang, Devesh Tiwari, Purnima Ratilal
Format: Article
Language:English
Published: MDPI AG 2020-01-01
Series:Remote Sensing
Subjects:
fin whale
vocalization
classification
neural networks
20 hz
cnn
lstm
passive ocean acoustic waveguide remote sensing
poawrs
marine mammal
decision tree
logistic regression
support vector machine
chirp
Online Access:https://www.mdpi.com/2072-4292/12/2/326

Internet

https://www.mdpi.com/2072-4292/12/2/326

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