Accuracy assessment of contextual classification results for vegetation mapping.
Guy ThoonenKoen HufkensJeroen Vanden BorreToon SpanhovePaul ScheundersPublished in: Int. J. Appl. Earth Obs. Geoinformation (2012)
Keyphrases
- classification accuracy
- accuracy rate
- generalization ability
- image classification
- high accuracy
- predictive accuracy
- pattern recognition
- machine learning
- feature space
- higher classification accuracy
- computational cost
- decision trees
- error rate
- support vector machine svm
- classification systems
- pattern classification
- classification method
- classification scheme
- preprocessing
- feature extraction
- classification rate
- automatic classification
- false positive and false negative
- fold cross validation
- learning algorithm
- classification models
- classification algorithm
- prediction accuracy
- contextual information
- support vector machine
- training set
- support vector
- roc curve
- benchmark datasets
- supervised classification
- text classification
- supervised learning
- multiple classifier systems
- correct classification
- confusion matrix