Kernel change discriminant analysis for multitemporal cloud masking.
Luis Gómez-ChovaEmma Izquierdo-VerdiguierJulia Amorós-LópezJordi Muñoz-MaríGustavo Camps-VallsPublished in: IGARSS (2013)
Keyphrases
- discriminant analysis
- kernel discriminant analysis
- discriminant subspace
- class separability
- kernel fisher discriminant analysis
- linear discriminant analysis
- face recognition
- change detection
- fisher linear discriminant analysis
- kernel principal component analysis
- feature extraction
- generalized discriminant analysis
- factor analysis
- fisher discriminant analysis
- principal component analysis
- graph embedding
- subspace learning
- partial least squares
- multispectral
- fisher criterion
- discriminant vectors
- cluster analysis
- dimensionality reduction methods
- feature space
- dimensionality reduction
- remote sensing
- high dimensional data
- support vector
- computer vision
- multi class
- discriminant projection
- generalized linear
- canonical correlations
- linear combination
- kernel function
- machine learning