Location, Tracking, and Classification of On-Ice and Underwater Noise Sources Using Machine Learning
Abstract
Changing Arctic ice conditions warrant new study of acoustic localization, tracking, and classification of anthropogenic sources, important for situational awareness in the ocean battlespace. The main objective of this work is to provide hands-on, militarily-relevant education opportunities for students in under-ice acoustics and machine learning. The second objective of this work is to advance the understanding of multi-modal acoustic localization, tracking, and classification in ice-covered, shallow-water zones using deep learning with acoustic vector sensor data.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Jul 27, 2020
- Source ID
- N001741910004
Entities
People
- Timothy C Havens
Organizations
- Michigan Technological University
- United States Navy