Spectral-Spatial Hyperspectral Image Classification via Robust Low-Rank Feature Extraction and Markov Random Field.
Xiangyong CaoZongben XuDeyu MengPublished in: Remote. Sens. (2019)
Keyphrases
- markov random field
- low rank
- rank minimization
- hyperspectral image classification
- low rank matrix
- feature extraction
- high order
- matrix factorization
- higher order
- convex optimization
- hyperspectral images
- maximum a posteriori
- hyperspectral
- image restoration
- graph cuts
- image segmentation
- energy function
- linear combination
- active learning
- missing data
- matrix completion
- singular value decomposition
- pairwise
- hyperspectral data
- semi supervised
- high dimensional data
- potential functions
- hyperspectral imagery
- spatial information
- trace norm
- norm minimization
- pattern recognition
- feature vectors
- face recognition
- machine learning
- feature space
- image data
- wavelet transform
- multispectral
- collaborative filtering
- image classification