Building Damage Mapping of the 2024 Noto Peninsula Earthquake, Japan, Using Semi-Supervised Learning and VHR Optical Imagery.
Sesa WigunaBruno AdrianoRuben VescovoErick MasAyumu MizutaniShunichi KoshimuraPublished in: IEEE Geosci. Remote. Sens. Lett. (2024)
Keyphrases
- semi supervised learning
- aerial images
- change detection
- semi supervised
- unlabeled data
- remote sensing
- labeled data
- semi supervised classification
- supervised learning
- remote sensing images
- unsupervised learning
- machine learning
- high resolution
- computer vision
- training data
- active learning
- labeled and unlabeled data
- semi supervised learning algorithms
- learning models
- improve the classification accuracy
- co training
- manifold regularization
- transfer learning
- ground motions
- image data
- semi supervised learning methods
- label propagation
- image processing
- feature selection
- metric learning
- image analysis
- multispectral
- graph based semi supervised learning
- k means