Change detection in hyperspectral imagery based on spectrally-spatially regularized low-rank matrix decomposition.
Zhao ChenBin YangBin WangGuohua LiuWei XiaPublished in: IGARSS (2017)
Keyphrases
- change detection
- hyperspectral imagery
- matrix decomposition
- low rank
- remote sensing
- hyperspectral images
- missing data
- hyperspectral
- convex optimization
- low rank matrix
- matrix factorization
- linear combination
- singular value decomposition
- data streams
- multispectral
- high order
- least squares
- satellite images
- kernel matrix
- data matrix
- semi supervised
- nonnegative matrix factorization
- high dimensional data
- singular values
- image processing
- spatial resolution
- image registration
- image analysis
- high resolution
- low rank approximation
- image segmentation
- similarity measure
- principal component analysis
- image sequences
- data sets