Artificial neural networks for mapping regional-scale upland vegetation from high spatial resolution imagery

Keyphrases

• Artificial Neural Network 100%
• Ground Data 100%
• High Spatial Resolution Imagery 100%
• Classification Methods 66%
• Unseen 66%
• IKONOS Imagery 66%
• Remote Areas 33%
• Remote Sensing Data 33%
• Remote Sensing 33%
• High Spatial Resolution 33%
• Geographical Location 33%
• Multilayer Perceptron 33%
• Generalization Ability 33%
• Optimum Size 33%
• Frequent Monitoring 33%
• Ground Mapping 33%
• High Classification Accuracy 33%
• Soft Classification 33%
• IKONOS Image 33%
• Land Cover Dynamics 33%
• Early Stopping 33%

Earth and Planetary Sciences

• Vegetation 100%
• High Spatial Resolution 100%
• Artificial Neural Network 100%
• IKONOS 50%
• Land Cover 16%
• Self Organizing Systems 16%
• Remote Sensing 16%