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Dimensionality reduction of hyperspectral images using an ICA-based stochastic second-order optimization algorithm.
Daniela Lupu
Ion Necoara
Tudor C. Ionescu
Liliana Maria Ghinea
Joseph L. Garrett
Tor Arne Johansen
Published in:
ECC (2023)
Keyphrases
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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