Squaring weighted low-rank subspace clustering for hyperspectral image band selection.
Han ZhaiHongyan ZhangLiangpei ZhangPingxiang LiPublished in: IGARSS (2016)
Keyphrases
- low rank
- subspace clustering
- band selection
- hyperspectral images
- high dimensional data
- hyperspectral imagery
- hyperspectral
- hyperspectral data
- spectral bands
- hyperspectral imaging
- hyperspectral remote sensing
- dimensionality reduction
- pixel classification
- high dimensionality
- low dimensional
- high dimensional
- matrix factorization
- data sets
- subspace clusters
- multispectral
- nearest neighbor
- remote sensing
- data analysis
- missing data
- linear discriminant analysis
- dimension reduction
- infrared
- input space
- clustering algorithm
- data points
- original data
- clustering method
- semi supervised
- target detection
- singular value decomposition
- multispectral images
- machine learning
- linear subspace
- input data
- principal component analysis
- high quality
- training data
- learning algorithm
- neural network