Ship classification based on multifeature ensemble with convolutional neural network

Computer Science

• Convolutional Neural Network 100%
• Average Accuracy 33%
• Deep Convolutional Neural Networks 33%
• Discriminative Feature 33%
• Remote Sensing Image 33%
• Representation Learning 33%
• Global Information 33%
• Decision Strategy 33%
• Local Information 33%
• Classification Framework 33%
• Classification Task 33%
• Fourier Transform 33%
• classification result 33%
• Phase Information 33%
• Dimensional Discrete 33%

Engineering

• Convolutional Neural Network 100%
• Ship Classification 100%
• Obtains 50%
• Fourier Transform 25%
• Phase Information 25%
• Two Dimensional 25%
• Great Importance 25%
• Level Feature 25%
• Local Information 25%
• Classification Task 25%
• Decision Level 25%
• Gabor Filter 25%
• Dimensional Discrete 25%
• Local Binary Pattern 25%
• Sea State 25%