Unsupervised Meta Learning With Multiview Constraints for Hyperspectral Image Small Sample set Classification.
Kuiliang GaoBing LiuXuchu YuAnzhu YuPublished in: IEEE Trans. Image Process. (2022)
Keyphrases
- meta learning
- hyperspectral images
- sample set
- hyperspectral data
- machine learning algorithms
- model selection
- machine learning
- training samples
- hyperspectral
- decision trees
- inductive learning
- feature space
- classification accuracy
- learning tasks
- supervised learning
- hyperspectral image classification
- hyperspectral imagery
- remote sensing
- unsupervised learning
- training set
- image classification
- feature selection
- feature vectors
- text categorization
- machine learning methods
- class labels
- support vector
- multispectral
- metamodel
- base classifiers
- training data
- multispectral images
- support vector machine
- data mining