New wrapper method based on normalized mutual information for dimension reduction and classification of hyperspectral images.
Hasna NhailaAsma ElmaiziElkebir SarhrouniAhmed HammouchPublished in: CoRR (2022)
Keyphrases
- dimension reduction
- hyperspectral images
- hyperspectral data
- feature extraction
- hyperspectral
- random projections
- principal component analysis
- feature space
- high dimensional
- low dimensional
- normalized mutual information
- feature selection
- principle component analysis
- multispectral
- singular value decomposition
- high dimensionality
- high dimensional data
- remote sensing
- unsupervised learning
- cluster analysis
- linear discriminant analysis
- multispectral images
- medical image registration
- wrapper method
- dimensionality reduction
- least squares
- multi modal
- text classification
- mutual information
- image registration
- preprocessing
- clustering algorithm