Low Rank Component Induced Spatial-Spectral Kernel Method for Hyperspectral Image Classification.
Le SunChenyang MaYunjie ChenYuhui ZhengHiuk Jae ShimZebin WuByeungwoo JeonPublished in: IEEE Trans. Circuits Syst. Video Technol. (2020)
Keyphrases
- low rank
- kernel methods
- hyperspectral image classification
- kernel matrix
- hyperspectral
- hyperspectral images
- active learning
- convex optimization
- missing data
- linear combination
- singular value decomposition
- kernel function
- matrix factorization
- semi supervised
- feature space
- matrix completion
- hyperspectral data
- high dimensional data
- support vector
- learning tasks
- learning problems
- machine learning
- high order
- multispectral
- reproducing kernel hilbert space
- remote sensing
- image data
- kernel pca
- hyperspectral imagery
- infrared
- support vector machine
- high dimensional feature space
- computer vision
- image processing
- data sets