Graph Regularized L1/2-Sparsity Constrained Non-Negative Matrix Factorization for Hyperspectral and Multispectral Image Fusion.
Sevcan KahramanAlp ErtürkSarp ErtürkPublished in: WHISPERS (2018)
Keyphrases
- multispectral
- remote sensing
- hyperspectral
- image fusion
- negative matrix factorization
- sparse representation
- remote sensing images
- hyperspectral images
- hyperspectral imagery
- spatial resolution
- change detection
- satellite images
- multi sensor
- image analysis
- multi band
- matrix factorization
- multispectral images
- target detection
- high spatial resolution
- high resolution
- hyperspectral data
- spectral bands
- image processing
- principal component analysis
- document clustering
- discrete wavelet transform
- fusion method
- image classification
- land cover classification
- image data
- face recognition
- spectral clustering
- image registration
- signal processing
- multiresolution
- high dimensional
- machine learning
- visible spectrum
- reflectance spectra