Underwater target classification at greater depths using deep neural network with joint multiple-domain feature

Engineering

• Joints (Structural Components) 100%
• Autoencoder 100%
• Domain Feature 100%
• Deep Neural Network 100%
• Acoustic Signal 66%
• Classification Accuracy 66%
• Global Structure 33%
• Hidden Layer 33%
• Transients 33%
• Input Feature 33%
• Domain Information 33%

Computer Science

• Deep Neural Network 100%
• Multiple Domain 100%
• Domain Feature 100%
• Sparse Autoencoder 100%
• Classification Accuracy 66%
• Wavelet Domain 33%
• Underwater Acoustic Signal 33%
• Deep Feature 33%
• Classification Framework 33%
• Spectral Domain 33%
• Acoustic Signal 33%
• Domain Information 33%