POLSAR Target Recognition Using a Feature Fusion Framework Based on Monogenic Signal and Complex-Valued Nonlocal Network

Computer Science

• Target Recognition 100%
• Feature Fusion 100%
• Synthetic Aperture Radar 100%
• Deep Feature 66%
• Interpretability 33%
• Deep Learning 33%
• Feature Extraction 33%
• Correlation Analysis 33%
• Superior Performance 33%
• Automatic Target Recognition 33%
• Single Feature 33%
• Considerable Number 33%

Engineering

• Target Recognition 100%
• Synthetic Aperture Radar 100%
• Feature Extraction 33%
• Redundant Information 33%
• Radar Systems 33%
• Multiscale 33%
• Deep Learning 33%
• Automatic Target Recognition 33%
• Single Feature 33%