Kernel Spatial-Spectral Based Multi-View Low-Rank Sparse Sbuspace Clustering for Hyperspectral Imagery.
Long TianQian DuIvica KoprivaNicolas H. YounanPublished in: WHISPERS (2018)
Keyphrases
- multi view
- hyperspectral imagery
- low rank
- kernel matrix
- semi supervised
- high dimensional data
- hyperspectral images
- hyperspectral
- multiple views
- missing data
- linear combination
- spatial resolution
- multispectral
- high dimensional
- remote sensing
- high order
- depth map
- matrix factorization
- singular value decomposition
- high dimensional feature space
- d objects
- spatial information
- kernel function
- semi supervised learning
- kernel methods
- sparse representation
- three dimensional
- input space
- labeled data
- dimensionality reduction
- dynamic scenes
- support vector
- data points
- supervised learning
- high quality
- feature space
- nearest neighbor
- image data
- spectral clustering
- active learning
- metric learning
- gaussian processes
- image processing
- reproducing kernel hilbert space
- low dimensional
- denoising