Underwater Targets Radiated Noise Classification Based on Enhanced Images and Convolutional Neural Networks
Author:
Affiliation:
1. National Joint Engineering Research Center for Special Pump Technology, Xi’an Aeronautical Institute, Xi’an, Shaanxi, China
2. China National Heavy Machinery Research Institute Company Ltd., Xi’an, Shaanxi, China
Funder
National Natural Science Foundation of China
Natural Science Basic Research Program of Shaanxi Province
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx8/6287639/10380310/10614474.pdf?arnumber=10614474
Reference29 articles.
1. A space-frequency joint detection and tracking method for line-spectrum components of underwater acoustic signals
2. A wave structure based method for recognition of marine acoustic target signals
3. A Hybrid Energy Feature Extraction Approach for Ship-Radiated Noise Based on CEEMDAN Combined with Energy Difference and Energy Entropy
4. Application of SN-EMD in Mode Feature Extraction of Ship Radiated Noise
5. The classification of underwater acoustic target signals based on wave structure and support vector machine
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