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