Sparsity Constrained Nonnegative Matrix Factorization Algorithm for Remotely Sensed Hyperspectral Image Analysis.
Mostafa GudaSafa GasserMohamed S. El-MahallawyKhaled ShehataPublished in: IEEE Access (2020)
Keyphrases
- remotely sensed
- hyperspectral
- nonnegative matrix
- remote sensing
- image analysis
- multispectral
- hyperspectral images
- change detection
- satellite images
- nonnegative matrix factorization
- spatial resolution
- remote sensing images
- infrared
- hyperspectral imagery
- image data
- target detection
- hyperspectral data
- remotely sensed images
- remote sensing data
- pattern recognition
- image processing
- high dimensional
- high resolution
- multispectral images
- information content
- land cover
- computer vision
- satellite imagery
- image segmentation
- sparse representation