Convolutional neural network models with low spatial variability hamper the transfer learning process

Keyphrases

• Spatial Variability 100%
• Learning Process 100%
• Transfer Learning 100%
• Convolutional Neural Network Model 100%
• Feature Extraction 60%
• Training Approaches 40%
• Poor Performance 20%
• Pinus Radiata 20%
• Learnability 20%
• Target Domain 20%
• Spatial Data 20%
• Convolutional Neural Network Architecture 20%
• High-resolution Remote Sensing 20%
• Well Model 20%
• New Domains 20%
• Transductive Learning 20%
• Neural Network Regression Model 20%
• Source Domain 20%
• Canopy Coverage 20%
• Internal Performance 20%
• Pre-trained Convolutional Neural Networks 20%
• Transductive 20%
• Model Training 20%

Computer Science

• Learning Process 100%
• Transfer Learning 100%
• Neural Network Model 100%
• Convolutional Neural Network 100%
• Feature Extraction 50%
• Case Study 16%
• Neural Network Architecture 16%
• high resolution remote sensing 16%
• Learning Ability 16%
• Spatial Information 16%

INIS

• learning 100%
• neural networks 100%
• tuning 57%
• data 42%
• performance 42%
• extraction 42%
• architecture 14%
• prediction 14%
• information 14%
• sustainability 14%
• planning 14%
• remote sensing 14%
• resolution 14%
• vehicles 14%
• canopies 14%