Non-Negative Matrix Factorization Based on Smoothing and Sparse Constraints for Hyperspectral Unmixing.
Xiangxiang JiaBaofeng GuoPublished in: Sensors (2022)
Keyphrases
- hyperspectral
- negative matrix factorization
- sparse representation
- hyperspectral images
- hyperspectral data
- remote sensing
- tensor factorization
- multispectral
- infrared
- nonnegative matrix factorization
- random projections
- hyperspectral imagery
- image data
- matrix factorization
- document clustering
- information content
- target detection
- spatial resolution
- blind source separation
- hyperspectral remote sensing
- principal component analysis
- spectral signatures
- spectral clustering
- dimensionality reduction
- satellite images
- high dimensional
- image classification
- high resolution
- computer vision
- feature space
- search engine
- image processing
- image segmentation
- face recognition
- object recognition
- pairwise
- image analysis
- data points