A fast iterative kernel PCA feature extraction for hyperspectral images.
Wenzi LiaoAleksandra PizuricaWilfried PhilipsYouguo PiPublished in: ICIP (2010)
Keyphrases
- kernel pca
- hyperspectral images
- feature extraction
- kernel principal component analysis
- principal component analysis
- hyperspectral
- feature space
- face recognition
- dimensionality reduction
- linear discriminant analysis
- principle component analysis
- kernel methods
- remote sensing
- kernel function
- spectral clustering
- multispectral
- discriminant analysis
- image processing
- pattern recognition
- support vector machine svm
- image classification
- support vector machine
- image data
- kernel matrix
- clustering method
- infrared
- feature set
- wavelet transform
- feature vectors
- input space
- computer vision
- similarity measure
- multispectral images
- target detection
- image analysis
- principal components
- face images
- low dimensional
- gray level