Dimension Reduction of Hyperspectral Images for Classification Applications.
Pai-Hui HsuYi-Hsing TsengPeng GongPublished in: Ann. GIS (2002)
Keyphrases
- dimension reduction
- hyperspectral images
- hyperspectral data
- random projections
- feature extraction
- principal component analysis
- hyperspectral
- feature space
- discriminative information
- high dimensional data
- high dimensionality
- low dimensional
- singular value decomposition
- high dimensional
- linear discriminant analysis
- feature selection
- remote sensing
- dimensionality reduction
- cluster analysis
- principle component analysis
- multispectral
- neural network
- hyperspectral imagery
- data mining
- partial least squares
- unsupervised learning
- decision trees
- preprocessing
- machine learning
- data fusion
- data sets
- high resolution
- active learning