Gabor feature-based collaborative representation for hyperspectral imagery classification

Engineering

• Hyperspectral Imagery 100%
• Test Sample 66%
• Hyperspectral Data 66%
• Sparsity 33%
• Computational Cost 33%
• State-of-the-Art Method 33%
• Pattern Recognition 33%
• Classification Accuracy 33%
• Computational Complexity 33%
• Classification Scheme 33%
• Dimensional Data 33%
• Linear Combination 33%
• Recognition Problem 33%
• Compressive Sensing 33%

Keyphrases

• Representation Error 16%
• Sample Space 16%
• Compressed Sensing Theory 16%
• L0 Norm 16%
• L1-norm Minimization 16%
• L1-norm Optimization 16%
• Sparse Solution 16%
• Gabor Transform 16%

Computer Science

• Sparse Linear Combination 16%
• Compressive Sensing 16%