PolSAR Image Classification Based on Robust Low-Rank Feature Extraction and Markov Random Field.
Haixia BiJing YaoZhiqiang WeiDanfeng HongJocelyn ChanussotPublished in: CoRR (2020)
Keyphrases
- markov random field
- low rank
- image classification
- feature extraction
- rank minimization
- low rank matrix
- high order
- matrix factorization
- matrix completion
- missing data
- mrf model
- convex optimization
- maximum a posteriori
- graph cuts
- belief propagation
- higher order
- singular value decomposition
- pairwise
- energy function
- random fields
- linear combination
- semi supervised
- image restoration
- potential functions
- image segmentation
- image representation
- feature selection
- image processing
- norm minimization
- trace norm
- high dimensional data
- multi label
- dimensionality reduction
- principal component analysis
- image features
- face recognition
- maximum likelihood
- singular values
- feature vectors
- nuclear norm