Reducing high-dimensional feature set of hyperspectral measurements for plant phenotype classification.
Bogdan RuszczakPublished in: GECCO Companion (2023)
Keyphrases
- feature set
- hyperspectral
- classification accuracy
- feature space
- feature selection
- hyperspectral images
- high dimensional
- hyperspectral data
- feature vectors
- feature extraction
- remote sensing
- feature representation
- class labels
- hyperspectral image classification
- hyperspectral imagery
- feature extraction and selection
- pixel classification
- extracted features
- multispectral
- high dimensionality
- infrared
- support vector machine
- image data
- feature reduction
- kernel function
- random forest
- hyperspectral remote sensing
- feature selection algorithms
- feature subset
- support vector
- selected features
- spectral bands
- principal components
- texture features
- dimensionality reduction
- nearest neighbor
- data sets
- training data
- target detection
- image analysis
- active learning
- information content
- naive bayes
- low dimensional