ICA mixture model based unsupervised classification of hyperspectral imagery

Keyphrases

• Hyperspectral 100%
• International Cooperative Ataxia Rating Scale (ICARS) 100%
• Mixture Model 100%
• Unsupervised Classification 100%
• ICA Mixture Model 50%
• Segmented Principal Component Analysis 50%
• Classification Methods 25%
• Principal Coordinate Analysis (PCoA) 25%
• Land Cover Classification 25%
• K-means Algorithm 25%
• Class Distribution 25%
• Projection Pursuit 25%
• Feature Extraction Methods 25%
• Non-Gaussian 25%
• Orthogonal Subspace Projection 25%
• Multivariate Gaussian Distribution 25%
• Reduced Data 25%
• Data Density 25%
• Data Dimensionality 25%
• Remote Sensing Classification 25%
• Model Estimates 25%
• Preprocessing Step 25%
• AVIRIS-NG 25%
• High Recognition Accuracy 25%

Computer Science

• Independent Component Analysis 100%
• Component Analysis 50%
• Principal Components 50%
• Classification Technique 16%
• Classification Accuracy 16%
• Orthogonal Subspace 16%
• Mean Algorithm 16%
• Preprocessing Step 16%
• Subspace Projection 16%
• Reduced Data Set 16%
• Class Distribution 16%
• Feature Extraction 16%

Chemical Engineering

• Pattern Recognition 100%
• Feature Extraction 100%