Support vector machines for recognition of semi-arid vegetation types using MISR multi-angle imagery

Keyphrases

• Multi-angle Imaging Spectroradiometer 100%
• Vegetation Type 100%
• Support Vector Machine 100%
• Semi-arid Vegetation 100%
• Angular Reflectance 75%
• Surface Anisotropy 75%
• Desert Grassland 50%
• Multi-angular 50%
• Support Vector Machine Algorithm 50%
• Spectral Bands 50%
• Classification Performance 25%
• Bidirectional Reflectance Distribution Function 25%
• Red Band 25%
• Scatter Index 25%
• New Mexico 25%
• Kernel-driven 25%
• Community-based 25%
• Remote Sensing 25%
• Empirical Kernel 25%
• Semi-natural Grassland 25%
• Maximum Likelihood Method 25%
• Off-nadir 25%
• Community Type 25%
• Radiometer Data 25%
• Land Cover Classification 25%
• Multiangular Data 25%
• Classification Accuracy 25%
• Desert Vegetation 25%
• Overall Classification Accuracy 25%
• Pattern Vector 25%
• Near-infrared Band 25%
• Optimal Combination 25%
• Two-parameter 25%
• Overall Accuracy 25%

Earth and Planetary Sciences

• MISR 100%
• Vegetation Type 100%
• Support Vector Machine 100%
• Grassland 60%
• Reflectance 60%
• Spectral Band 40%
• Distribution Function 20%
• Bidirectional Reflectance 20%
• New Mexico 20%
• Land Cover 20%
• Surface Reflectance 20%
• Remote Sensing 20%

Physics

• MISR (Radiometry) 100%
• Anisotropy 75%
• Reflectance 75%
• Spectral Band 50%
• Distribution Function 25%
• Bidirectional Reflectance 25%
• Near Infrared 25%
• Surface Reflectance 25%