A discriminated similarity matrix construction based on sparse subspace clustering algorithm for hyperspectral imagery.
Qing YanYun DingJing-Jing ZhangYi XiaChun-Hou ZhengPublished in: Cogn. Syst. Res. (2019)
Keyphrases
- similarity matrix
- hyperspectral imagery
- clustering algorithm
- kernel based nonlinear
- spectral signatures
- spectral clustering
- eigendecomposition
- multispectral
- subspace clustering
- hyperspectral images
- hyperspectral
- clustering method
- pairwise
- target detection
- remote sensing
- high dimensional
- spatial resolution
- k means
- data clustering
- co occurrence
- similarity measure
- dimension reduction
- cluster analysis
- change detection
- image reconstruction
- infrared
- latent semantic indexing
- low dimensional
- multi band
- semantic similarity
- high dimensional data
- normalized cut
- principal component analysis
- subspace clusters
- feature space