A comprehensive evaluation of feature selection algorithms in hyperspectral image classification

Keyphrases

• Feature Selection Methods 100%
• Hyperspectral Image Classification 100%
• Comprehensive Evaluation 100%
• Hyperspectral 80%
• Redundancy 40%
• High Correlation 20%
• Computation Time 20%
• Minimum Cost 20%
• Classification Accuracy 20%
• Remote Sensing 20%
• Information Extraction 20%
• Hyperspectral Bands 20%
• Sensing Area 20%
• Irrelevant Features 20%
• Spectral Bands 20%
• Sample Classification 20%
• Number of Training Samples 20%
• Hand Classification 20%
• Huge Amounts of Data 20%

Computer Science

• Feature Selection 100%
• Image Classification 100%
• Hyperspectral Image 100%
• Feature Extraction 100%
• Computational Time 20%
• Training Sample 20%
• Sample Classification 20%
• High Correlation 20%
• Classification Accuracy 20%

Earth and Planetary Sciences

• Hyperspectral Image Classification 100%
• Hyperspectral Image 100%
• Remote Sensing 50%
• Spectral Band 50%