Classification of urban environments using feature extraction and random forest.
Camila Souza dos AnjosMarielcio Goncalves LacerdaLeidiane do Livramento AndradeRoberto Neves SallesPublished in: IGARSS (2017)
Keyphrases
- random forest
- feature extraction
- urban environments
- feature set
- decision trees
- fold cross validation
- random forests
- support vector machine svm
- feature vectors
- feature selection
- image classification
- pattern recognition
- classification accuracy
- decision tree learning algorithms
- feature space
- ensemble classifier
- face recognition
- image processing
- ensemble methods
- training set
- urban areas
- training samples
- support vector machine
- text classification
- class labels
- multi label
- machine learning methods
- dimensionality reduction
- linear discriminant analysis
- data sets
- knn
- data points
- evolutionary algorithm
- data analysis
- support vector
- machine learning