Adaptive group Riemannian manifold learning for hyperspectral image classification.
Haoxiang TaoXiaofeng XieRongnian TangYao HouJingru LiWen FengYoulong ChenGaodi XuPublished in: Int. J. Wirel. Mob. Comput. (2022)
Keyphrases
- manifold learning
- hyperspectral image classification
- low dimensional
- dimensionality reduction
- nonlinear dimensionality reduction
- semi supervised
- high dimensional
- geodesic distance
- feature extraction
- dimension reduction
- high dimensional data
- active learning
- sparse representation
- image data
- feature space
- object recognition
- principal component analysis
- shape analysis
- hyperspectral