Multimodal feature assessment using multibranch 3D CNN to BILSTM for feature level multi-polarization SAR image data fusion and vehicle identification

Engineering

• Image Data 100%
• Image Information 100%
• Level Feature 100%
• Synthetic Aperture Radar Images 100%
• Convolutional Neural Network 100%
• Synthetic Aperture Radar 100%
• Lstm 100%
• Computervision 50%
• Pixel Level 50%
• Gaussian White Noise 50%
• Multiple Sensor 50%
• Decision Level 50%
• Testing Set 50%
• Learning System 50%
• Class Vehicle 50%

Computer Science

• Data Fusion 100%
• Synthetic Aperture Radar 100%
• Image Information 100%
• Synthetic Aperture Radar Images 100%
• Long Short-Term Memory Network 100%
• 3D Convolutional Neural Networks 100%
• Multiple Sensor 50%
• Points of Interest 50%
• Network Algorithm 50%
• Computer Vision Algorithms 50%
• Learning System 50%
• Machine Learning 50%
• Gaussian White Noise 50%
• Convolution 50%

Keyphrases

• Vehicle Image 100%
• Fusion Identification 100%
• Convolution Fusion 50%
• Vehicle Pose 50%
• Dual-modality Fusion 50%
• VV Polarization 50%
• Pose Augmentation 50%
• Long Short-term Memory Network Algorithm 50%
• Multi-pose 50%