Deep Low-Rank Graph Convolutional Subspace Clustering for Hyperspectral Image.
Tianhao HanSijie NiuXizhan GaoWenyue YuNa CuiJiwen DongPublished in: IEEE Trans. Geosci. Remote. Sens. (2022)
Keyphrases
- low rank
- subspace clustering
- high dimensional data
- hyperspectral images
- subspace projection
- affinity matrix
- subspace clusters
- hyperspectral
- dimensionality reduction
- nearest neighbor
- low dimensional
- high dimensional
- high dimensionality
- data sets
- convex optimization
- hyperspectral imagery
- linear combination
- clustering method
- data analysis
- remote sensing
- missing data
- linear discriminant analysis
- data points
- original data
- dimension reduction
- matrix factorization
- multispectral
- weighted graph
- sparse representation
- graph matching
- input data
- target detection
- cluster structure
- sparse coding
- singular value decomposition
- principal component analysis
- image data
- pattern recognition
- clustering algorithm
- image processing
- semi supervised
- knn
- linear subspace
- training set