Hyperspectral Image Classification Using Kernel Fused Representation via a Spatial-Spectral Composite Kernel With Ideal Regularization.
Guichi LiuLin QiYun TieLong MaPublished in: IEEE Geosci. Remote. Sens. Lett. (2019)
Keyphrases
- hyperspectral image classification
- reproducing kernel hilbert space
- kernel function
- kernel machines
- kernel methods
- kernel ridge regression
- spatial frequency
- hyperspectral
- support vector
- spectral decomposition
- kernel matrix
- hyperspectral images
- image processing
- feature space
- reinforcement learning
- multiple kernel learning
- spatial correlation
- input space
- spatial information
- image representation
- high dimensional feature space
- spectral signatures
- active learning