Joint and Progressive Subspace Analysis (JPSA) With Spatial-Spectral Manifold Alignment for Semisupervised Hyperspectral Dimensionality Reduction.
Danfeng HongNaoto YokoyaJocelyn ChanussotJian XuXiao Xiang ZhuPublished in: IEEE Trans. Cybern. (2021)
Keyphrases
- hyperspectral
- dimensionality reduction
- spectral signatures
- hyperspectral images
- hyperspectral imagery
- remote sensing
- infrared
- multispectral
- hyperspectral data
- subspace learning
- semi supervised
- low dimensional
- image data
- linear discriminant analysis
- high dimensional data
- principal component analysis
- lower dimensional
- feature extraction
- random projections
- high dimensional
- manifold learning
- subspace methods
- data representation
- high dimensionality
- input space
- unsupervised learning
- dimensionality reduction methods
- face recognition
- pattern recognition