Feature extraction for PolSAR image classification using multilinear subspace learning.
Mingliang TaoFeng ZhouJia SuJian XiePublished in: IGARSS (2017)
Keyphrases
- subspace learning
- image classification
- feature extraction
- dimensionality reduction
- sparse coding
- manifold learning
- sparse representation
- principal component analysis
- face recognition
- image representation
- bag of words
- dimension reduction
- visual words
- preprocessing
- feature vectors
- low dimensional
- maximum margin criterion
- data representation
- image features
- high dimensional data
- feature space
- pattern recognition
- discriminant analysis
- unsupervised learning
- semi supervised
- subspace learning algorithm
- image processing
- linear discriminant analysis
- face images
- feature selection
- fisher criterion
- object recognition
- probabilistic model
- learning algorithm
- feature fusion
- data sets