Tensor Ring Discriminant Analysis Used for Dimension Reduction of Remote Sensing Feature Tensor.
Tong GaoLingjia GuHao ChenPublished in: IEEE Trans. Geosci. Remote. Sens. (2024)
Keyphrases
- discriminant analysis
- dimension reduction
- remote sensing
- linear discriminant analysis
- dimensionality reduction
- principal component analysis
- feature extraction
- partial least squares
- higher order tensors
- multispectral
- face recognition
- scatter matrices
- supervised dimensionality reduction
- dimension reduction methods
- image processing
- image analysis
- hyperspectral
- high dimensional data
- feature space
- cluster analysis
- feature vectors
- random projections
- high dimensional
- high resolution
- preprocessing step
- support vector
- locality preserving projections
- low dimensional
- discriminative information
- manifold learning
- fisher discriminant analysis
- feature selection
- support vector machine svm
- feature set
- nearest feature line
- null space
- dimensionality reduction methods
- pattern recognition
- factor analysis
- singular value decomposition
- data representation
- high dimensionality
- preprocessing
- subspace learning
- principal components
- hyperspectral imagery
- data sets
- face detection
- semi supervised
- image data
- knowledge discovery
- computer vision