Linear Discriminant Analysis Based on Kernel-Based Possibilistic C-Means for Hyperspectral Images.
Qiuling HouYiju WangLing JingHaibin ChenPublished in: IEEE Geosci. Remote. Sens. Lett. (2019)
Keyphrases
- hyperspectral images
- linear discriminant analysis
- possibilistic c means
- kernel discriminant analysis
- support vector
- kernel pca
- discriminant analysis
- hyperspectral
- face recognition
- possibilistic clustering
- principal component analysis
- fuzzy c means
- dimensionality reduction
- hyperspectral imagery
- dimension reduction
- high dimensional data
- remote sensing
- clustering algorithm
- feature extraction
- feature space
- support vector machine svm
- kernel methods
- support vector machine
- target detection
- image data
- multispectral
- multispectral images
- infrared
- neural network
- face detection
- data points
- subspace methods
- training data