Modified Principal Component Analysis (MPCA) for feature selection of hyperspectral imagery.
Cheng WangMassimo MenentiZhao-Liang LiPublished in: IGARSS (2003)
Keyphrases
- visual search
- visual attention
- hyperspectral imagery
- principal component analysis
- target detection
- feature selection
- dimensionality reduction
- dimension reduction
- subspace projection
- feature space
- feature extraction
- principal components
- hyperspectral data
- multispectral
- independent component analysis
- hyperspectral images
- face recognition
- hyperspectral
- feature set
- high dimensional feature space
- low dimensional
- support vector
- discriminant analysis
- linear discriminant analysis
- mutual information
- remote sensing
- spatial resolution
- infrared
- classification accuracy
- machine learning
- lower dimensional
- kernel pca
- image processing