Constrained low-tubal-rank tensor recovery for hyperspectral images mixed noise removal by bilateral random projections.
Hao ZhangXi-Le ZhaoTai-Xiang JiangMichael Kwok-Po NgPublished in: CoRR (2019)
Keyphrases
- noise removal
- random projections
- hyperspectral data
- hyperspectral images
- dimensionality reduction
- denoising
- anisotropic diffusion
- image enhancement
- hyperspectral
- noise reduction
- dimension reduction
- hyperspectral imagery
- random sampling
- principal component analysis
- low dimensional
- sparse representation
- image reconstruction
- edge detection
- hash functions
- higher order
- original data
- gaussian noise
- high order
- high dimensionality
- remote sensing
- multispectral images
- document clustering
- target detection
- partial differential equations
- feature selection
- linear discriminant analysis
- feature space
- data streams
- image segmentation