Joint feature extraction for multi-source data using similar double-concentrated network

Engineering

• Convolutional Layer 25%
• Demonstrates 25%
• Effective Feature 25%
• Experimental Result 25%
• Extracted Feature 25%
• Feature Extraction 100%
• Hyperspectral Imagery 100%
• Joint Classification 25%
• Joints (Structural Components) 100%
• Light Detection and Ranging 75%
• Real Data 25%
• Single Source 25%
• Source Data 100%
• Source Information 25%
• Spatial Feature 50%
• Spectral Feature 25%
• State-of-the-Art Method 25%

Computer Science

• Batch Normalization 33%
• Convolutional Layer 33%
• Experimental Result 33%
• Extracted Feature 33%
• Feature Extraction 100%
• Network Structures 33%
• Source Information 33%