Underwater Acoustic Research Trends with Machine Learning: Active SONAR Applications
Author:
Funder
Korea Research Institute of Ships and Ocean Engineering
Publisher
The Korean Society of Ocean Engineers
Link
http://joet.org/upload/pdf/joet-34-4-277.pdf
Reference25 articles.
1. Active sonar detection in shallow water using the Page test
2. Performances of human listeners and an automatic aural classifier in discriminating between sonar target echoes and clutter
3. Underwater target classification using wavelet packets and neural networks
4. Underwater target classification in changing environments using an adaptive feature mapping
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