Impact of Training Set Size on Object-Based Land Cover Classification: A Comparison of Three Classifiers.
Gerhard MyburghAdriaan Van NiekerkPublished in: Int. J. Appl. Geospat. Res. (2014)
Keyphrases
- training set size
- land cover classification
- training set
- supervised classification
- training data
- multispectral
- class distribution
- step size
- classification accuracy
- learning curves
- generalization error
- decision forest
- cross validation
- remote sensing
- land cover
- learning curve
- decision trees
- remote sensing data
- image segmentation
- high resolution
- remote sensing imagery
- active learning
- remote sensing images
- class labels
- test set
- training examples
- image registration
- support vector machine