Hyperspectral Unmixing Based on Constrained Bilinear or Linear-Quadratic Matrix Factorization.
Fatima Zohra BenhaloucheYannick DevilleMoussa Sofiane KarouiAbdelaziz OuamriPublished in: Remote. Sens. (2021)
Keyphrases
- matrix factorization
- hyperspectral
- linear quadratic
- hyperspectral images
- hyperspectral data
- remote sensing
- collaborative filtering
- multispectral
- infrared
- recommender systems
- optimal control
- image data
- nonnegative matrix factorization
- low rank
- closed loop
- hyperspectral imagery
- target detection
- missing data
- negative matrix factorization
- information content
- factor analysis
- image analysis
- singular value decomposition
- co occurrence