Hyperspectral Classification Via Low-Rank Component Induced Spatial-Spectral Kernel.
Le SunFei YanTianming ZhanPublished in: IGARSS (2019)
Keyphrases
- hyperspectral
- hyperspectral data
- low rank
- hyperspectral images
- hyperspectral image classification
- hyperspectral imagery
- spectral signatures
- remote sensing
- band selection
- kernel matrix
- multispectral
- spectral bands
- infrared
- hyperspectral remote sensing
- convex optimization
- missing data
- support vector
- spatial resolution
- matrix factorization
- target detection
- image data
- random projections
- linear combination
- spectral data
- singular value decomposition
- spectral resolution
- information content
- machine learning
- image classification
- feature space
- data sets
- feature selection
- similarity measure
- pattern recognition
- semi supervised
- support vector machine
- active learning
- feature vectors
- kernel learning
- training data
- image registration
- reflectance spectra
- high dimensional data
- frequency domain