Multiple kernel feature line embedding for hyperspectral image classification

Keyphrases

• Multiple Kernels 100%
• Hyperspectral Image Classification 100%
• Feature Line Embedding 100%
• Kernel Features 100%
• Pavia 28%
• Kernel Principal Component Analysis 28%
• Principal Coordinate Analysis (PCoA) 14%
• Preprocessing Techniques 14%
• Hyperspectral 14%
• Support Vector Machine 14%
• Embedding Method 14%
• Dimensionality Reduction 14%
• Linear Combination 14%
• Benchmark Dataset 14%
• Manifold Structure 14%
• Nearest Feature Line 14%
• Discriminative Ability 14%
• Nonlinear Manifold 14%
• Embedding Transformation 14%
• Kernel Methods 14%
• Embedding Stage 14%
• Between-class Distance 14%
• Indian Pines 14%
• Unsupervised Dimensionality Reduction 14%
• Kernel Learning 14%
• Distance Vector 14%
• Weighted Kernel Function 14%
• Kernel Learning Method 14%
• Kernel Weight 14%

Computer Science

• Hyperspectral Image 100%
• Image Classification 100%
• Principle Component Analysis 100%
• Experimental Result 33%
• Support Vector Machine 33%
• Preprocessing 33%
• Linear Combination 33%
• Embedding Method 33%
• Kernel Function 33%
• Processing Method 33%
• Kernel Method 33%
• Distance Vector 33%