An improved semi-supervised local discriminant analysis for feature extraction of hyperspectral image.
Renbo LuoWenzhi LiaoWilfried PhilipsYouguo PiPublished in: JURSE (2015)
Keyphrases
- discriminant analysis
- hyperspectral images
- semi supervised
- feature extraction
- subspace projection
- hyperspectral
- linear discriminant analysis
- face recognition
- hyperspectral imagery
- remote sensing
- hyperspectral data
- principal component analysis
- unsupervised learning
- multispectral
- manifold learning
- pairwise
- graph embedding
- kernel principal component analysis
- supervised learning
- target detection
- pairwise constraints
- multispectral images
- fisher criterion
- partial least squares
- dimensionality reduction
- feature selection
- support vector machine svm
- image classification
- active learning
- feature vectors
- feature space
- dimensionality reduction methods
- high dimensional data
- discriminant projection
- subspace learning
- dimension reduction
- wavelet transform
- pattern recognition
- image processing
- feature set
- support vector machine
- high dimensional
- training set
- clustering algorithm