Using Low-Rank Representation of Abundance Maps and Nonnegative Tensor Factorization for Hyperspectral Nonlinear Unmixing.
Lianru GaoZhicheng WangLina ZhuangHaoyang YuBing ZhangJocelyn ChanussotPublished in: IEEE Trans. Geosci. Remote. Sens. (2022)
Keyphrases
- tensor factorization
- hyperspectral
- hyperspectral images
- matrix factorization
- hyperspectral data
- remote sensing
- low rank
- infrared
- negative matrix factorization
- multispectral
- nonnegative matrix factorization
- collaborative filtering
- hyperspectral imagery
- singular value decomposition
- image data
- information content
- satellite images
- gaussian processes
- tag recommendation
- image analysis
- probabilistic latent semantic analysis
- least squares
- image processing
- high order
- active learning
- recommender systems
- denoising
- mutual information
- spectral clustering
- face recognition
- feature selection