t-Linear Tensor Subspace Learning for Robust Feature Extraction of Hyperspectral Images.
Yang-Jun DengHeng-Chao LiSiqiao TanJunhui HouQian DuAntonio PlazaPublished in: IEEE Trans. Geosci. Remote. Sens. (2023)
Keyphrases
- subspace learning
- dimensionality reduction
- hyperspectral images
- feature extraction
- principal component analysis
- manifold learning
- linear subspace
- hyperspectral
- subspace learning algorithm
- face recognition
- linear discriminant analysis
- data representation
- remote sensing
- high dimensional data
- low dimensional
- pattern recognition
- feature vectors
- image classification
- sparse representation
- data points
- high dimensional
- sparse coding
- learning algorithm
- higher order
- feature selection
- target detection
- feature space
- dimension reduction
- high dimensionality
- multispectral
- semi supervised
- discriminant analysis
- multispectral images
- similarity measure
- data sets
- super resolution