Object-based random forest classification for mapping floodplain vegetation structure from nation-wide CIR AND LiDAR datasets.
Lammert KooistraErnst T. KuilderCaspar A. MücherPublished in: WHISPERS (2014)
Keyphrases
- random forest
- decision trees
- feature set
- fold cross validation
- cancer classification
- random forests
- benchmark datasets
- decision tree learning algorithms
- classification accuracy
- ensemble methods
- ensemble classifier
- text classification
- feature importance
- ensemble learning
- feature ranking
- classification algorithm
- classification models
- feature vectors
- training set
- feature selection
- machine learning
- remote sensing
- urban areas
- multi label
- base classifiers
- class labels
- support vector machine svm
- support vector machine
- classifier ensemble
- support vector
- image processing
- computer vision