Hyperspectral pan-sharpening: A variational convex constrained formulation to impose parallel level lines, solved with ADMM.
Alexis HuckFrançois de VieillevillePierre WeissManuel GrizonnetPublished in: WHISPERS (2014)
Keyphrases
- hyperspectral
- augmented lagrangian method
- level lines
- total variation regularization
- convex optimization
- alternating direction method of multipliers
- remote sensing
- hyperspectral images
- total variation
- variational framework
- multispectral
- infrared
- convex relaxation
- image denoising
- hyperspectral imagery
- augmented lagrangian
- image inpainting
- target detection
- image data
- hyperspectral data
- image deblurring
- denoising
- hyperspectral remote sensing
- information content
- level set
- energy functional
- satellite images
- connected components
- optical flow
- image segmentation
- edge detection
- textured images
- topographic maps
- gray level
- high resolution