An Improved RFI Mitigation Approach for SAR Based on Low-Rank Sparse Decomposition: From the Perspective of Useful Signal Protection.
Hengrui ZhangLin MinJing LuJike ChangZhengwei GuoNing LiPublished in: Remote. Sens. (2022)
Keyphrases
- low rank
- tensor decomposition
- low rank matrix
- rank minimization
- low rank subspace
- low rank matrices
- nuclear norm
- matrix factorization
- robust principal component analysis
- sparsity constraints
- low rank representation
- missing data
- linear combination
- matrix completion
- group sparsity
- kernel matrices
- convex optimization
- compressive sensing
- matrix decomposition
- low rank approximation
- high dimensional data
- signal recovery
- singular value decomposition
- regularized regression
- semi supervised
- high order
- kernel matrix
- signal processing
- high dimensional
- low rank and sparse
- sparse matrix
- structured sparsity
- minimization problems
- sparse representation
- tensor factorization
- higher order
- binary matrices
- data analysis
- image processing
- image reconstruction
- machine learning
- collaborative filtering
- binary matrix
- data points
- affinity matrix
- singular values
- random projections