Comparison of Independent Component Analysis, Principal Component Analysis, and Minimum Noise Fraction Transformation for Tree Species Classification Using APEX Hyperspectral Imagery.
Zahra DabiriStefan LangPublished in: ISPRS Int. J. Geo Inf. (2018)
Keyphrases
- independent component analysis
- principal component analysis
- hyperspectral imagery
- subspace projection
- hyperspectral data
- feature extraction
- feature space
- hyperspectral images
- factor analysis
- independent components
- dimension reduction
- principle component analysis
- blind source separation
- pattern recognition
- source signals
- signal processing
- hyperspectral
- random projections
- support vector machine
- dimensionality reduction
- covariance matrix
- high dimensional feature space
- support vector machine svm
- machine learning
- high order statistics
- remote sensing
- feature vectors
- support vector
- feature selection
- linear discriminant analysis
- face images
- principal components
- lower dimensional
- video sequences
- computer vision
- neural network