Noise reduction for hyperspectral images based on structural sparse and low-rank matrix decomposition.
Qian LiZhenbo LuQingbo LuHouqiang LiWeiping LiPublished in: IGARSS (2013)
Keyphrases
- noise reduction
- hyperspectral images
- matrix decomposition
- low rank
- nonnegative matrix factorization
- hyperspectral
- signal to noise ratio
- edge detection
- remote sensing
- multispectral
- singular values
- singular value decomposition
- linear combination
- multispectral images
- convex optimization
- computer vision
- super resolution
- signal processing
- target detection
- image data
- multiresolution
- pattern recognition