An Approach Based on Constrained Nonnegative Matrix Factorization to Unmix Hyperspectral Data.
Xuesong LiuWei XiaBin WangLiming ZhangPublished in: IEEE Trans. Geosci. Remote. Sens. (2011)
Keyphrases
- nonnegative matrix factorization
- hyperspectral data
- hyperspectral
- hyperspectral images
- hyperspectral imagery
- random projections
- negative matrix factorization
- data representation
- matrix factorization
- remote sensing
- infrared
- multispectral
- original data
- principal component analysis
- least squares
- spectral clustering
- document clustering
- principal components
- target detection
- data sets
- sparse representation
- dimensionality reduction
- text mining
- semi supervised
- objective function
- multiscale
- face recognition
- image processing
- computer vision