Superpixel-Based Reweighted Low-Rank and Total Variation Sparse Unmixing for Hyperspectral Remote Sensing Imagery.
Hao LiRuyi FengLizhe WangYanfei ZhongLiangpei ZhangPublished in: IEEE Trans. Geosci. Remote. Sens. (2021)
Keyphrases
- hyperspectral
- remote sensing imagery
- low rank
- total variation
- convex optimization
- low rank matrix
- minimization problems
- remote sensing
- nuclear norm
- hyperspectral images
- image restoration
- denoising
- multispectral
- image processing
- image denoising
- infrared
- image data
- change detection
- remote sensing data
- target detection
- satellite images
- linear combination
- missing data
- matrix completion
- remote sensing images
- high order
- matrix factorization
- singular value decomposition
- information content
- spatial resolution
- high dimensional
- superpixels
- semi supervised
- image analysis
- multiscale
- higher order