Laplacian-Regularized Low-Rank Subspace Clustering for Hyperspectral Image Band Selection.
Han ZhaiHongyan ZhangLiangpei ZhangPingxiang LiPublished in: IEEE Trans. Geosci. Remote. Sens. (2019)
Keyphrases
- low rank
- subspace clustering
- band selection
- hyperspectral images
- high dimensional data
- hyperspectral imagery
- hyperspectral
- hyperspectral data
- spectral bands
- nearest neighbor
- pixel classification
- hyperspectral imaging
- dimensionality reduction
- high dimensionality
- remote sensing
- data sets
- low dimensional
- multispectral
- high dimensional
- subspace clusters
- original data
- missing data
- data analysis
- linear discriminant analysis
- dimension reduction
- data points
- matrix factorization
- edge detection
- clustering method
- target detection
- singular value decomposition
- input space
- semi supervised
- image processing
- clustering algorithm
- infrared
- image analysis
- image data
- neural network