Principal Component Analysis Based Polynomial Chaos Expansion Regression of Leaf Area Index from Polsar Imagery.
Mehmet Furkan CelikEsra ErtenPublished in: IGARSS (2021)
Keyphrases
- principal component analysis
- regression model
- principal components
- dimensionality reduction
- independent component analysis
- index structure
- covariance matrix
- face images
- feature space
- regression analysis
- regression algorithm
- chaos theory
- dimension reduction
- regression method
- linear regression
- discriminant analysis
- singular value decomposition
- partial least squares
- model selection
- particle swarm optimization
- low dimensional
- image data
- high resolution
- support vector
- feature extraction
- face recognition
- polynomial regression
- reproducing kernel hilbert space
- locally weighted
- database
- regression problems
- piecewise linear
- support vector regression
- b tree
- linear discriminant analysis
- image processing
- computer vision
- data sets