Sample Latent Feature-Associated Low-Rank Subspace Clustering for Hyperspectral Band Selection.
Yujie GuoXin ZhaoXudong SunJiahua ZhangXiao-Di ShangPublished in: IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. (2024)
Keyphrases
- low rank
- hyperspectral
- subspace clustering
- high dimensional data
- band selection
- hyperspectral images
- hyperspectral remote sensing
- pixel classification
- hyperspectral imagery
- spectral bands
- hyperspectral data
- remote sensing
- multispectral
- nearest neighbor
- hyperspectral imaging
- infrared
- high dimensional
- dimensionality reduction
- low dimensional
- image data
- high dimensionality
- original data
- data sets
- matrix factorization
- target detection
- satellite images
- singular value decomposition
- data points
- spatial resolution
- data analysis
- information content
- clustering method
- linear discriminant analysis
- sparse representation
- clustering algorithm
- input space
- dimension reduction
- multi band
- feature set
- multispectral images
- semi supervised
- lower dimensional
- knn
- linear subspace
- high resolution
- high quality
- image segmentation
- data mining
- neural network