Toward An Unsupervised Colorization Framework for Historical Land Use Classification.
Rémi RatajczakCarlos Fernando Crispim JuniorLaure TougneElodie FaureBeatrice FerversPublished in: IGARSS (2019)
Keyphrases
- supervised classification
- pattern recognition
- machine learning
- feature vectors
- classification accuracy
- supervised learning
- main contribution
- gray scale
- pattern classification
- feature selection
- feature space
- land cover
- unsupervised learning
- partially supervised
- interpolation method
- automatic classification
- classification algorithm
- text classification
- support vector machine
- support vector
- decision trees