Multiscale Superpixel Kernel-Based Low-Rank Representation for Hyperspectral Image Classification.
Tianming ZhanZhenyu LuMinghua WanGuowei YangPublished in: IEEE Geosci. Remote. Sens. Lett. (2020)
Keyphrases
- hyperspectral image classification
- multiscale
- low rank representation
- superpixels
- active learning
- hyperspectral
- low rank
- hyperspectral images
- affinity matrix
- kernel methods
- image representation
- natural images
- image processing
- wavelet transform
- image segmentation
- wavelet coefficients
- hyperspectral data
- machine learning
- infrared
- remote sensing
- missing data
- support vector machine
- image data
- support vector
- semi supervised
- spectral clustering
- learning process
- pairwise
- training set