Cross-Domain Heterogeneous Hyperspectral Image Classification Based on Meta-Learning with Task-Adaptive Loss Function.
Yuheng JinMinchao YeFengchao XiongYuntao QianPublished in: WHISPERS (2023)
Keyphrases
- loss function
- meta learning
- cross domain
- hyperspectral image classification
- learning tasks
- transfer learning
- inductive learning
- active learning
- knowledge transfer
- support vector
- machine learning algorithms
- pairwise
- domain adaptation
- hyperspectral
- text categorization
- decision trees
- model selection
- machine learning
- target domain
- data mining
- metamodel
- image processing
- learning algorithm
- semi supervised
- multi class
- base classifiers
- feature selection