Joint Polarimetric Subspace Detector Based on Modified Linear Discriminant Analysis.
Tao LiuZiyuan YangArmando MarinoGui GaoJian YangPublished in: IEEE Trans. Geosci. Remote. Sens. (2022)
Keyphrases
- linear discriminant analysis
- principal component analysis
- dimensionality reduction
- null space
- subspace methods
- high dimensional data
- discriminant analysis
- principal components analysis
- linear projection
- qr decomposition
- feature space
- feature extraction
- dimension reduction
- scatter matrices
- locality preserving projections
- face recognition
- scatter matrix
- subspace analysis
- low dimensional
- linear discriminant
- small sample size
- discriminant features
- principal components
- lower dimensional
- subspace learning
- discriminant information
- kernel pca
- subspace projection
- support vector
- class separability
- support vector machine svm
- high dimensional
- subspace clustering
- nearest neighbor
- linear subspace
- singular value decomposition
- discriminative information
- data sets
- methods such as principal component analysis
- fisher criterion
- high dimensionality
- pattern recognition
- feature selection
- neural network
- decomposition method
- face detection
- detection method
- input data
- data points
- image processing