Improving Change Detection in Forest Areas Based on Stereo Panchromatic Imagery Using Kernel MNF

Computer Science

• Training Sample 100%
• Random Decision Forest 50%
• Monitoring Change 50%
• Support Vector Machine 50%
• Discriminant Analysis 50%
• Dimensional Feature Space 50%
• Spectral Information 50%

Earth and Planetary Sciences

• Change Detection 100%
• Discriminant Analysis 50%
• Land Cover 50%
• Land Cover Change 50%
• Support Vector Machine 50%

Keyphrases

• Limited Training Samples 50%
• Reliable Features 50%
• Forest Change Monitoring 50%