Sparse Spatio-Spectral LapSVM With Semisupervised Kernel Propagation for Hyperspectral Image Classification.
Lixia YangMin WangShuyuan YangRui ZhangPingting ZhangPublished in: IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. (2017)
Keyphrases
- hyperspectral image classification
- semi supervised
- hyperspectral
- active learning
- manifold regularization
- hyperspectral images
- hyperspectral data
- labeled and unlabeled data
- random projections
- semi supervised learning
- hyperspectral imagery
- remote sensing
- regularized least squares
- unlabeled data
- sparse representation
- kernel function
- feature space
- multispectral
- labeled data
- supervised learning
- high dimensional
- infrared
- semi supervised classification
- support vector
- preconditioned conjugate gradient
- machine learning
- reproducing kernel hilbert space
- multiple kernel learning
- multispectral images
- target detection
- image data
- kernel matrix
- random sampling
- input space
- kernel methods
- learning process
- pairwise