Orthogonal Nonnegative Matrix Factorization Combining Multiple Features for Spectral-Spatial Dimensionality Reduction of Hyperspectral Imagery.
Jinhuan WenJames E. FowlerMingyi HeYong-Qiang ZhaoChengzhi DengVineetha MenonPublished in: IEEE Trans. Geosci. Remote. Sens. (2016)
Keyphrases
- hyperspectral imagery
- combining multiple
- nonnegative matrix factorization
- dimensionality reduction
- spectral bands
- hyperspectral
- feature extraction
- hyperspectral images
- spectral signatures
- multispectral
- hyperspectral data
- target detection
- spatial resolution
- remote sensing
- spatial information
- data representation
- high dimensionality
- principal components
- feature set
- principal component analysis
- feature space
- image processing
- matrix factorization
- data sets
- least squares
- relational databases
- negative matrix factorization
- feature vectors
- high dimensional