Polsar Image Classification via Robust Low-Rank Feature Extraction and Markov Random Field.
Haixia BiRaúl Santos-RodríguezPeter A. FlachPublished in: IGARSS (2020)
Keyphrases
- object recognition
- markov random field
- low rank
- image classification
- feature extraction
- rank minimization
- low rank matrix
- high order
- image features
- image representation
- mrf model
- graph cuts
- matrix completion
- missing data
- matrix factorization
- higher order
- belief propagation
- singular value decomposition
- random fields
- pairwise
- computer vision
- maximum a posteriori
- semi supervised
- image restoration
- energy function
- natural images
- convex optimization
- linear combination
- potential functions
- high dimensional data
- image segmentation
- multi label
- dimensionality reduction
- data sets
- feature selection
- sparse coding
- image processing
- face recognition
- small number
- trace norm
- active learning
- feature space
- wavelet transform
- sparse representation
- least squares
- total variation
- generative model
- nuclear norm