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