LiDAR-Aided Total Variation Regularized Nonnegative Tensor Factorization for Hyperspectral Unmixing.
Atakan KayaKubilay AtasSevcan KahramanPublished in: IGARSS (2021)
Keyphrases
- tensor factorization
- total variation
- hyperspectral
- image restoration
- hyperspectral data
- hyperspectral images
- denoising
- remote sensing
- image denoising
- matrix factorization
- multispectral
- nonnegative matrix factorization
- collaborative filtering
- negative matrix factorization
- infrared
- image processing
- high resolution
- image data
- gaussian processes
- linear algebra
- hyperspectral imagery
- singular value decomposition
- satellite images
- least squares
- super resolution
- noisy images
- markov random field
- computer vision
- natural images
- pairwise
- multiscale
- wavelet coefficients
- objective function