HSRRS Classification Method Based on Deep Transfer Learning and Multi-Feature Fusion

Mathematics

• Transfer Learning 100%
• Spatial Resolution 83%
• Remote Sensing Image 82%
• Remote Sensing 80%
• High Resolution 65%
• Fusion 57%
• Image Classification 51%
• Neural Networks 19%
• Feature Extraction 15%
• Acquisition 13%
• Performance 12%
• Model 10%
• Evaluate 8%
• Sample Size 8%

Engineering & Materials Science

• Transfer learning 63%
• Remote sensing 55%
• Fusion reactions 42%
• Image classification 33%
• Convolutional neural networks 19%
• Electric fuses 10%
• Feature extraction 8%