Advanced Methods for Passive Acoustic Detection, Classification, and Localization of Marine Mammals

Abstract

For effective long-term passive acoustic monitoring of today s large data sets, automated algorithms must provide the ability to detect and classify marine mammal vocalizations and ultimately, in some cases, provide data for estimating the population density of the species present. In recent years, researchers have developed a number of algorithms for detecting calls and classifying them to species or species group (such as beaked whales). Algorithms must be robust in real ocean environments where non-Gaussian and non-stationary noise sources, especially vocalizations from similar species, pose significant challenges. In this project, we are developing improved methods for detection, classification, and localization of many types of marine mammal sounds.

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 2013
Accession Number
ADA598742

Entities

People

  • David J. Moretti
  • David K. Mellinger
  • Jonathan Klay
  • Marie A. Roch
  • Steve W Martin

Organizations

  • Naval Undersea Warfare Center

Tags

Communities of Interest

  • Energy and Power Technologies
  • Ground and Sea Platforms
  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Acoustic Detection
  • Acoustic Detectors
  • Detection
  • Detectors
  • Feature Extraction
  • Frequency Bands
  • Graphical User Interface
  • Hidden Markov Models
  • Image Processing
  • Kernels (Operating System)
  • Machine Learning
  • Mammals
  • Marine Mammals
  • Markov Models
  • Odontocetes
  • Supervised Machine Learning
  • Whales

Fields of Study

  • Environmental science

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Marine Mammal Biology
  • Sensor Fusion and Tracking Systems.