Multilevel Spatial Feature-Based Manifold Metric Learning for Domain Adaptation in Remote Sensing Image Classification.
Yanni DongXuexiang QinXue LiLina XuPublished in: IEEE Trans. Geosci. Remote. Sens. (2023)
Keyphrases
- domain adaptation
- metric learning
- remote sensing
- remotely sensed data
- semi supervised
- image classification
- remote sensing data
- semi supervised learning
- manifold learning
- labeled data
- image features
- unlabeled data
- land cover
- distance metric
- feature space
- image analysis
- pairwise
- transfer learning
- image processing
- learning tasks
- dimensionality reduction
- cross domain
- multi task
- high resolution
- distance function
- feature extraction
- multiple sources
- bag of words
- active learning
- nonlinear dimensionality reduction
- learning problems
- multi view
- low dimensional
- supervised learning
- computer vision
- multi label
- sparse representation
- similarity search
- pattern recognition
- high dimensional data
- databases
- high dimensional
- target domain
- data points
- machine learning