Considerations on Parallelizing Nonnegative Matrix Factorization for Hyperspectral Data Unmixing.
Stefan A. RobilaLukasz G. MaciakPublished in: IEEE Geosci. Remote. Sens. Lett. (2009)
Keyphrases
- nonnegative matrix factorization
- hyperspectral data
- hyperspectral
- hyperspectral images
- hyperspectral imagery
- random projections
- multispectral
- negative matrix factorization
- remote sensing
- matrix factorization
- original data
- data representation
- infrared
- least squares
- principal component analysis
- document clustering
- spectral clustering
- target detection
- sparse representation
- data compression
- image data
- principal components
- satellite images
- information content
- multispectral images
- machine learning
- dimension reduction
- text documents
- image analysis