PolSAR Image Classification Based on Robust Low-Rank Feature Extraction and Markov Random Field.
Haixia BiJing YaoZhiqiang WeiDanfeng HongJocelyn ChanussotPublished in: IEEE Geosci. Remote. Sens. Lett. (2022)
Keyphrases
- markov random field
- low rank
- image classification
- feature extraction
- rank minimization
- low rank matrix
- high order
- graph cuts
- convex optimization
- linear combination
- matrix factorization
- mrf model
- singular value decomposition
- matrix completion
- random fields
- missing data
- belief propagation
- image segmentation
- maximum a posteriori
- higher order
- semi supervised
- pairwise
- energy function
- potential functions
- image restoration
- high dimensional data
- trace norm
- image representation
- wavelet transform
- feature selection
- singular values
- dimensionality reduction
- feature vectors
- feature space
- face recognition
- image processing
- multi label
- least squares
- norm minimization
- machine learning
- nuclear norm