Constrained Nonnegative Matrix Factorization for Hyperspectral Change Detection.
Alp ErtürkPublished in: IGARSS (2019)
Keyphrases
- change detection
- nonnegative matrix factorization
- hyperspectral
- remote sensing
- satellite images
- remotely sensed
- hyperspectral imagery
- multispectral
- remote sensing images
- remote sensing imagery
- hyperspectral images
- matrix factorization
- hyperspectral data
- data representation
- least squares
- negative matrix factorization
- remotely sensed images
- satellite imagery
- high resolution
- remote sensing data
- land cover
- spatial resolution
- image analysis
- target detection
- spectral clustering
- document clustering
- infrared
- principal component analysis
- data streams
- image processing
- image data
- objective function
- original data
- data model
- clustering algorithm
- data sets
- multispectral images
- collaborative filtering
- face recognition