Self-Supervised Low-Rank Representation (SSLRR) for Hyperspectral Image Classification.
Yuebin WangJie MeiLiqiang ZhangBing ZhangAnjian LiYibo ZhengPanpan ZhuPublished in: IEEE Trans. Geosci. Remote. Sens. (2018)
Keyphrases
- hyperspectral image classification
- low rank representation
- low rank
- active learning
- hyperspectral
- hyperspectral images
- affinity matrix
- hyperspectral data
- semi supervised
- remote sensing
- linear combination
- missing data
- matrix factorization
- data sets
- denoising
- high order
- spectral clustering
- subspace clustering
- hyperspectral imagery
- image data