Using Low-rank Representation of Abundance Maps and Nonnegative Tensor Factorization for Hyperspectral Nonlinear Unmixing.
Lianru GaoZhicheng WangLina ZhuangHaoyang YuBing ZhangJocelyn ChanussotPublished in: CoRR (2021)
Keyphrases
- tensor factorization
- hyperspectral
- hyperspectral images
- matrix factorization
- remote sensing
- hyperspectral data
- infrared
- multispectral
- nonnegative matrix factorization
- low rank
- collaborative filtering
- negative matrix factorization
- image data
- hyperspectral imagery
- tag recommendation
- singular value decomposition
- satellite images
- information content
- gaussian processes
- probabilistic latent semantic analysis
- spectral clustering
- similarity search
- high resolution