Hyperspectral Classification Using Low Rank and Sparsity Matrices Decomposition.
Hongju CaoXiao-Di ShangChunyan YuMeiping SongChein-I ChangPublished in: IGARSS (2020)
Keyphrases
- low rank
- hyperspectral
- hyperspectral data
- hyperspectral images
- low rank matrix
- matrix completion
- singular value decomposition
- remote sensing
- hyperspectral imagery
- matrix factorization
- multispectral
- singular values
- image data
- data matrix
- pattern recognition
- high dimensional
- missing data
- convex optimization
- infrared
- decision trees
- linear combination
- kernel matrix
- low rank and sparse
- feature selection
- information content
- dimension reduction
- machine learning
- support vector machine
- satellite images
- hyperspectral remote sensing
- training set
- semi supervised
- small number
- random projections
- wavelet transform
- feature space
- tensor factorization
- support vector
- image processing
- high order
- regularized regression