Transferability of Artificial Neural Networks for mapping land cover of regional areas with high spatial resolution imagery

Keyphrases

• Artificial Neural Network 100%
• Land Cover 100%
• Transferability 100%
• National Park 100%
• High Spatial Resolution Imagery 100%
• Northumberland 75%
• Multilayer Perceptron 50%
• Training Process 25%
• Land Cover Mapping 25%
• Ground Data 25%
• High Spatial Resolution 25%
• Classification Accuracy 25%
• Validation Data 25%
• Northern England 25%
• Support Vector Machine 25%
• Artificial Neural Network Algorithm 25%
• Protected Areas 25%
• Soft Classification 25%
• IKONOS Imagery 25%
• IKONOS Image 25%
• Early Stopping 25%
• Varying number 25%
• National Authorities 25%
• Training Areas 25%
• Hidden Layer 25%
• Mapping Algorithm 25%
• Vegetation Class 25%
• Remote Sensing Mapping 25%
• Classification Approach 25%
• EU Nationals 25%
• Conjugate Gradient Descent 25%
• Hidden Node 25%
• Hard Classification 25%
• Process Improving 25%

Earth and Planetary Sciences

• Land Cover 100%
• High Spatial Resolution 100%
• Artificial Neural Network 100%
• National Parks 44%
• Self Organizing Systems 22%
• IKONOS 22%
• Vegetation 11%
• England 11%
• Remote Sensing 11%
• Protected Area 11%
• Support Vector Machine 11%