Semi-supervised Fine-Tuning for Deep Learning Models in Remote Sensing Applications.
Eftychios ProtopapadakisAnastasios D. DoulamisNikolaos DoulamisEvangelos MaltezosPublished in: ISVC (1) (2020)
Keyphrases
- learning models
- fine tuning
- remote sensing
- semi supervised
- semi supervised learning
- unlabeled data
- labeled data
- remote sensing images
- change detection
- multispectral
- supervised learning
- high resolution
- remote sensing imagery
- satellite images
- learning problems
- pairwise
- machine learning
- image analysis
- image processing
- learning algorithm
- satellite data
- learning tasks
- land cover
- unsupervised learning
- hyperspectral
- conditional random fields
- remote sensed images
- active learning
- loss function
- text categorization
- remote sensing data
- generative model
- multi spectral images
- automatic image registration
- transfer learning
- machine learning algorithms
- training data
- earth observation
- classification models