Spatial Low-Rank Tensor Factorization and Unmixing of Hyperspectral Images.
William Navas-AugerVidya B. ManianPublished in: Comput. (2021)
Keyphrases
- hyperspectral images
- low rank
- matrix factorization
- tensor factorization
- tensor decomposition
- singular value decomposition
- hyperspectral
- collaborative filtering
- hyperspectral data
- missing data
- nonnegative matrix factorization
- remote sensing
- recommender systems
- negative matrix factorization
- convex optimization
- linear combination
- spatial information
- multispectral
- infrared
- factorization method
- high order
- high dimensional data
- semi supervised
- data representation
- markov random field
- active learning
- image analysis