SAR Ship Detection Based on End-to-End Morphological Feature Pyramid Network

Computer Science

• Synthetic Aperture Radar 100%
• Detection Accuracy 66%
• de-noising 66%
• Synthetic Aperture Radar Images 66%
• Semantic Feature 33%
• Convolution Layer 33%
• Convolutional Neural Network 33%
• Noise Suppression 33%
• Edge Information 33%
• Frequency Information 33%
• Preprocessing Step 33%
• Fusion Structure 33%
• Edge Enhancement 33%

Engineering

• Target Tracking 100%
• Synthetic Aperture Radar 100%
• Synthetic Aperture Radar Images 66%
• Speckle 33%
• Shallower 33%
• Multiscale 33%
• Multichannel 33%
• Noise Suppression 33%
• Level Semantics 33%
• Edge Information 33%
• Edge Extraction 33%
• Fusion Structure 33%
• Edge Enhancement 33%