Dimensionality reduction of hyperspectral images using an ICA-based stochastic second-order optimization algorithm.
Daniela LupuIon NecoaraTudor C. IonescuLiliana Maria GhineaJoseph L. GarrettTor Arne JohansenPublished in: ECC (2023)
Keyphrases
- optimization algorithm
- hyperspectral images
- dimensionality reduction
- principal component analysis
- independent component analysis
- neighborhood preserving
- hyperspectral
- feature extraction
- mixing matrix
- multi objective
- optimization method
- low dimensional
- hyperspectral data
- hyperspectral imagery
- remote sensing
- particle swarm optimization pso
- high dimensional data
- multispectral
- high dimensional
- high dimensionality
- pattern recognition
- optimization strategy
- dimension reduction
- face recognition
- differential evolution
- principal components
- evolutionary multi objective
- hybrid optimization algorithm
- feature space
- multispectral images
- linear discriminant analysis
- spectral bands
- random projections
- target detection
- neural network
- data points
- computer vision
- kernel pca
- feature selection