Transformer-based Federated Learning for Multi-Label Remote Sensing Image Classification.
Baris BüyüktasKenneth WeitzelSebastian VölkersFelix ZailskasBegüm DemirPublished in: CoRR (2024)
Keyphrases
- multi label
- remote sensing
- image classification
- multi label learning
- change detection
- remote sensing images
- learning algorithm
- satellite images
- image analysis
- image processing
- feature extraction
- learning process
- neural network
- hyperspectral
- multispectral
- text categorization
- high resolution
- remote sensing data
- multi label classification
- graph cuts
- image fusion
- reinforcement learning
- hyperspectral images
- remote sensing imagery
- remotely sensed data
- data sets
- automatic image registration
- binary classification
- class labels
- k nearest neighbor
- supervised learning
- image features
- knowledge discovery
- computer vision