Global Spatial and Local Spectral Similarity-Based Manifold Learning Group Sparse Representation for Hyperspectral Imagery Classification.
Haoyang YuLianru GaoWenzhi LiaoBing ZhangLina ZhuangMeiping SongJocelyn ChanussotPublished in: IEEE Trans. Geosci. Remote. Sens. (2020)
Keyphrases
- sparse representation
- manifold learning
- hyperspectral imagery
- hyperspectral data
- random projections
- dictionary learning
- hyperspectral images
- image classification
- spectral signatures
- sparse coding
- hyperspectral
- subspace learning
- dimensionality reduction
- high dimensional data
- remote sensing
- multispectral
- object tracking
- dimension reduction
- face recognition
- low dimensional
- image patches
- target detection
- image representation
- spatial resolution
- high dimensional
- pattern recognition
- signal processing
- infrared
- feature space
- feature extraction
- supervised learning
- support vector
- unsupervised learning
- object recognition
- principal component analysis