Noise robust feature extraction for underwater targets classification via label consistent dictionary learning

Engineering

• Feature Extraction 100%
• Dictionary Learning 100%
• Experimental Result 50%
• Input Feature 50%
• Support Vector Machine 50%
• Acoustic Signal 50%
• Sample Data 50%
• Measured Signal 50%
• Noise Level 50%
• Performance Loss 50%