A New Clutter Removal Method Based on Direct Robust Matrix Factorization for Buried Target Detection

Keyphrases

• Removal Methods 100%
• Clutter Removal 100%
• Buried Object Detection 100%
• Low-rank Decomposition 100%
• Sparse Decomposition 100%
• Robust Principal Component Analysis 100%
• Robust Matrix Factorization 100%
• Decomposition Method 50%
• Singular Value Decomposition 50%
• Ground Penetrating Radar 50%
• Numerical Comparison 50%
• Radar Data 50%
• Visual Comparison 50%
• Imaging Systems 50%
• Sparsity Constraint 50%
• Rank Minimization 50%
• Low-rank Methods 50%
• Soft Thresholding 50%
• Parameter Computation 50%
• Relaxed Solutions 50%
• Direct Solution 50%
• Nuclear Norm Relaxation 50%
• Target Detection Algorithm 50%
• Thresholding Operation 50%
• Nonconvex Optimization Problems 50%
• Partial Singular Value Decomposition 50%
• Target Component 50%
• Ground Penetrating Radar Survey 50%

Engineering

• Target Tracking 100%
• Singular Value Decomposition 100%
• Matrix Factorization 100%
• Component Analysis 100%
• Principal Components 100%
• Real Data 50%
• Simulated Data 50%
• Convex Optimization Problem 50%
• Data Show 50%
• Soft Thresholding 50%
• Robust Solution 50%
• Sparsity 50%
• Radar Data 50%
• Detection Algorithm 50%
• Imaging Systems 50%