Ensemble Learning From Synthetically Mixed Training Data for Quantifying Urban Land Cover With Support Vector Regression.
Akpona OkujeniSebastian van der LindenStefan SuessPatrick HostertPublished in: IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. (2017)
Keyphrases
- support vector regression
- ensemble learning
- land cover
- urban growth
- training data
- urban areas
- generalization ability
- unlabeled data
- support vector machine
- change detection
- remote sensing
- remote sensing images
- multispectral
- support vector
- satellite images
- support vector machine svm
- geographic information systems
- concept drift
- learning algorithm
- labeled data
- ensemble methods
- supervised learning
- supervised classification
- base classifiers
- regression model
- classification accuracy
- decision trees
- training set
- kernel function
- semi supervised learning
- class labels
- feature selection
- training examples
- test data
- random forest
- naive bayes
- data sets
- active learning
- pattern recognition
- semi supervised
- unsupervised learning
- training samples
- data points
- multi class
- text classification
- image processing