A parallel unmixing algorithm for hyperspectral images

Keyphrases

• Distributed Environment 25%
• Endmember 75%
• Endmember Extraction 25%
• Feature Extraction 25%
• Gradient-based Optimization 25%
• Hyperspectral 100%
• Hyperspectral Image Classification 25%
• Hyperspectral Sensing 25%
• Image-based 25%
• International Cooperative Ataxia Rating Scale (ICARS) 25%
• Life Sciences 25%
• Linear Mixing Model 25%
• Linear Mixture 25%
• Non-negative Matrix Factorization 100%
• Optimization Approach 25%
• Orthogonal Subspace Projection 25%
• Orthogonality 25%
• Parallel Computing 25%
• Parallel Environment 25%
• Parallel Implementation 25%
• PCA Subspace 25%
• Principal Coordinate Analysis (PCoA) 25%
• Restrictive Conditions 25%
• Source Separation 75%
• Target Classification 25%
• Target Detection 25%
• Time Complexity 25%
• Unmixing 25%
• Unmixing Algorithms 100%
• Unmixing Method 25%
• Unsupervised Unmixing 25%

Computer Science

• Component Analysis 25%
• Distributed Environment 25%
• Feature Extraction 25%
• Hyperspectral Image 100%
• Independent Component Analysis 75%
• Linear Mixing Model 25%
• Linear Mixture 25%
• nonnegative matrix factorization 100%
• Orthogonal Subspace 25%
• Parallel Computer 25%
• Parallel Implementation 25%
• Principal Components 25%
• Restrictive Condition 25%
• Source Separation 75%
• Subspace Projection 25%
• Time Complexity 25%
• unmixing 100%
• Unmixing Matrix 25%

Earth and Planetary Sciences

• Hyperspectral Image 100%
• Pattern Recognition 33%
• Port 33%
• Principal Component Analysis 100%
• Real Time 33%