Classification of hyperspectral images using machine learning methods

Keyphrases

• Endmember 100%
• Random Forest 100%
• Machine Learning Techniques 100%
• Land Cover Classification 100%
• Generalized Reduced Gradient 100%
• Fractional Abundance 100%
• Hyperspectral 100%
• Hyperspectral Image Classification 100%
• Decision Maker 50%
• Neural Network 50%
• Washington DC 50%
• Overall Classification Accuracy 50%
• Pixel Purity Index 50%
• Mall 50%
• Accuracy Comparison 50%
• Data Mining Tools 50%
• Remote Sensing Image 50%
• Ensemble Classifier 50%
• Ensemble Methods 50%
• Mixed pixel 50%
• Supervised Classifier 50%
• Mathematical Optimization Method 50%
• Mixed pixel Problem 50%
• Ensemble Model 50%
• Spectral Unmixing Analysis 50%

Computer Science

• Random Decision Forest 100%
• Hyperspectral Image 100%
• Machine Learning 100%
• Learning System 100%
• Mathematical Optimization 50%
• unmixing 50%
• Frank-Wolfe Algorithm 50%
• ensemble classifier 50%
• Ensemble Method 50%
• Neural Network 50%
• Classification Accuracy 50%
• Decision Maker 50%
• Data Mining Tool 50%