A novel information gain-based approach for classification and dimensionality reduction of hyperspectral images.
Asma ElmaiziHasna NhailaElkebir SarhrouniAhmed HammouchChafik NacirPublished in: CoRR (2022)
Keyphrases
- hyperspectral images
- information gain
- feature selection
- dimensionality reduction
- hyperspectral data
- decision trees
- hyperspectral
- text categorization
- feature extraction
- high dimensionality
- chi squared
- mutual information
- classification accuracy
- hyperspectral imagery
- random projections
- pattern recognition
- support vector
- multispectral
- principal components
- support vector machine
- machine learning
- correlation coefficient
- text classification
- naive bayes
- feature vectors
- genetic algorithm ga
- data sets
- image classification
- multispectral images
- feature set
- high dimensional
- neural network