Kernel Low-Rank and Sparse Graph for Unsupervised and Semi-Supervised Classification of Hyperspectral Images.
Frank de MorsierMaurice BorgeaudVolker GassJean-Philippe ThiranDevis TuiaPublished in: IEEE Trans. Geosci. Remote. Sens. (2016)
Keyphrases
- hyperspectral images
- hyperspectral
- low rank and sparse
- remote sensing
- support vector
- feature space
- feature vectors
- kernel methods
- pattern recognition
- target detection
- data sets
- convex optimization
- machine learning
- signal recovery
- multispectral
- support vector machine
- training set
- feature extraction
- kernel function
- text classification
- denoising
- similarity measure
- image processing