Detection, classification, and density estimation of marine mammals: final report
Mellinger, David K.
MetadataShow full item record
Detection, classification, and localization (DCL) research on marine mammal vocalizations has been in development for decades, and methods for marine mammal population density estimation using acoustic data have been in development since at least 2007. These efforts have been supported by MobySound, an archive of cetacean sounds used for studying call detection and localization that are annotated to facilitate research in DCL. This project was aimed to begin development of high‐performing automatic detection methods for the sounds of beaked whales and other odontocetes. Specifically, this report  details the newly collected odontocete recordings that have been added to the MobySound archive;  documents continuing development of methods for detection and classification, including improvements to the Energy Ratio Mapping Algorithm (ERMA) method for use on gliders and its extension to new species and populations;  reports on application of a newly developed method for population density estimation to field recordings; and  also reports on the successful production of datasets focused on odontocete whistles and clicks and baleen whale calls for the Fifth Workshop on Detection, Classification, Localization, and Density Estimation of Marine Mammals using Passive Acoustics.
NPS Report NumberNPS-OC-13-001CR
Showing items related by title, author, creator and subject.
Mellinger, David K. (Monterey, California. Naval Postgraduate SchoolDepartment of Oceanography, 2012-09); NPS-OC-12-004CRDetection, classification, and localization (DCL) research on marine mammal vocalizations has been in development for decades, and methods for marine mammal population density estimation using acoustic data have been in ...
Detection and classification of baleen whale foraging calls combining pattern recognition and machine learning techniques Huang, Ho-Chun (Monterey, California: Naval Postgraduate School, 2016-12);A three-step approach has been developed for detecting and classifying the foraging calls of the blue whale, Balaenoptera musculus, and fin whale, Balaenoptera physalus, in passive acoustic recordings. This approach includes ...
Mellinger, David K. (Monterey, California. Naval Postgraduate School, 2010); NPS-OC-10-005CREnvironmental laws now require marine research and operations to be conducted so as to minimize impacts on marine mammals and mitigate any adverse impacts caused by that research/operation. Acoustic techniques have become ...