Decision Learning Algorithm for Acoustic Vessel Classification

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Author
Meir, Talmor
Tsionskiy, Mikhail
Sutin, Alesander
Salloum, Hady
Date
2012-04Metadata
Show full item recordAbstract
"Detection, tracking and classifying vessels of all sizes approaching ports and harbors is an imperative aspect to the security of complex maritime systems. This case study is an application of the passive acoustic method for vessel classification. The analysis of noise radiated by passing boats in Hudson River provides sound signatures and specific acoustic features of various boats. The features are then implemented into a decision-making algorithm used for final classification."
Description
This article appeared in Homeland Security Affairs (April 2012), supplement 4, article 3