Local linear spectral unmixing via cluster analysis and non-negative matrix factorization for hyperspectral (CHRIS/PROBA) imagery.
Cosmin LazarLuca DemarchiDavid SteenhoffJonathan Cheung-Wai ChanAnn NowéHichem SahliPublished in: IGARSS (2012)
Keyphrases
- cluster analysis
- negative matrix factorization
- hyperspectral
- hyperspectral data
- document clustering
- discriminant analysis
- hyperspectral images
- hyperspectral imagery
- image data
- random projections
- remote sensing
- multispectral
- nonnegative matrix factorization
- clustering method
- infrared
- clustering algorithm
- hyperspectral remote sensing
- data clustering
- sparse representation
- target detection
- matrix factorization
- blind source separation
- principal component analysis
- factor analysis
- data mining
- k means
- unsupervised learning
- spectral clustering
- spectral resolution
- dimension reduction
- satellite images
- high resolution
- information content
- data mining techniques
- data analysis
- low dimensional
- spectral signatures
- computer vision
- image processing
- change detection
- image analysis
- pairwise
- multispectral images
- information extraction