Application of Random Forest Classification to Detect the Pine Wilt Disease from High Resolution Spectral Images.
Marian-Daniel IordacheVasco MantasElsa BaltazarNicolas LewyckyjNiels SouverijnsPublished in: IGARSS (2020)
Keyphrases
- random forest
- decision trees
- high resolution
- feature set
- fold cross validation
- random forests
- spectral images
- classification accuracy
- image processing
- ensemble methods
- low resolution
- feature vectors
- supervised learning
- benchmark datasets
- pattern recognition
- pairwise
- text classification
- training set
- ensemble classifier
- class labels
- feature selection
- high dimensional
- feature extraction
- similarity measure
- support vector
- base classifiers
- satellite images
- data streams
- training samples
- image classification
- machine learning