A 3-D Gabor Phase-Based Coding and Matching Framework for Hyperspectral Imagery Classification

Keyphrases

• Big numbers 25%
• Coding Scheme 25%
• Distance Matching 25%
• Distance-based 50%
• Feature Extracting 25%
• Gabor Magnitude 25%
• Gabor Phase 100%
• Gabor Wavelet 100%
• Generalization Ability 25%
• Hamming Distance 50%
• High Computational Cost 25%
• Hyperspectral 50%
• Hyperspectral Image Classification 100%
• Labeled Sample 25%
• Large Volume 25%
• Limited Training Data 25%
• Manual Labeling 25%
• Matching Method 25%
• Nearest Neighbor Classifier 25%
• Normalized Hamming Distance 25%
• Number of Features 25%
• Phase Coding 100%
• Phase Feature 25%
• Pixel-wise 25%
• Recent Trends 25%
• Region Homogeneity 25%
• Spatial Domain 25%
• Spectral Information 25%
• Spectral-spatial Feature 25%
• State-of-the-art Techniques 25%
• Structure Information 25%
• Supervised Classifier 25%
• Two-sample 25%
• Wavelet Basis 50%

Engineering

• Applicability 25%
• Coding Scheme 25%
• Computational Cost 25%
• Extracted Feature 25%
• Gabor Wavelet 100%
• Good Performance 50%
• Hamming Distance 75%
• Hyperspectral Data 25%
• Hyperspectral Image 25%
• Hyperspectral Imagery 100%
• Joints (Structural Components) 25%
• Matching Method 25%
• Nearest Neighbor 25%
• Neighbor Classifier 25%
• Similarities 25%
• Spatial Domain 25%
• Spatial Feature 25%
• Spectral Information 25%
• State-of-the-Art Method 25%
• Structure Information 25%

Computer Science

• Biggest Challenge 33%
• Computational Cost 33%
• Extracted Feature 33%
• Generalization Ability 33%
• Good Performance 66%
• Hamming Distance 100%
• Hyperspectral Data 33%
• Hyperspectral Image 33%
• Nearest Neighbors Classifier 33%
• Parallel Direction 33%
• Spatial Domain 33%
• Spectral Information 33%