Hyperspectral image supervised classification via multi-view nuclear norm based 2D PCA feature extraction and kernel ELM.
Jue JiangLili HuangHeng LiLiang XiaoPublished in: IGARSS (2016)
Keyphrases
- multi view
- supervised classification
- feature extraction
- hyperspectral images
- principal component analysis
- kernel pca
- feature space
- hyperspectral
- dimensionality reduction
- low rank
- multiple views
- supervised learning
- unsupervised learning
- semi supervised
- remote sensing
- kernel matrix
- dimension reduction
- kernel function
- face recognition
- singular value decomposition
- feature vectors
- d objects
- three dimensional
- linear discriminant analysis
- kernel methods
- face images
- image classification
- pattern recognition
- feature selection
- principal components
- image processing
- multispectral
- spectral clustering
- linear combination
- random projections
- wavelet transform
- image data
- light field
- support vector
- semi supervised learning
- low dimensional
- gaussian processes
- feature set
- multispectral images