Feature selection with PSO and kernel methods for hyperspectral classification.
Anthony S. J. TjiongSildomar T. MonteiroPublished in: IEEE Congress on Evolutionary Computation (2011)
Keyphrases
- kernel methods
- hyperspectral
- support vector
- feature selection
- hyperspectral data
- feature space
- support vector machine
- hyperspectral images
- machine learning
- hyperspectral image classification
- kernel learning
- kernel function
- classification accuracy
- pixel classification
- kernel matrix
- remote sensing
- multispectral
- image data
- infrared
- feature set
- text classification
- feature extraction
- multiple kernel learning
- hyperspectral imagery
- svm classifier
- high dimensional feature space
- model selection
- reproducing kernel hilbert space
- feature vectors
- kernel pca
- gaussian kernel
- decision trees
- pattern recognition
- feature selection algorithms
- high dimensionality
- support vector machine svm
- dimensionality reduction
- information content
- dimension reduction
- active learning
- classification method
- image classification
- unsupervised learning
- kernel trick
- spectral bands