SVM and Random Forest Classification of Satellite Image with NDVI as an Additional Attribute to the Dataset.
K. Joshil RajS. SivasathyaPublished in: SocProS (1) (2013)
Keyphrases
- random forest
- fold cross validation
- feature set
- satellite images
- remote sensing
- decision trees
- support vector machine svm
- feature selection
- random forests
- support vector machine
- multispectral
- ensemble classifier
- feature vectors
- support vector
- feature ranking
- land cover
- cancer classification
- ensemble methods
- logistic regression
- svm classifier
- classification accuracy
- machine learning
- digital elevation models
- feature space
- feature extraction
- remotely sensed
- classification models
- classification algorithm
- multi label
- generalization ability
- ensemble learning
- decision tree learning algorithms
- class labels
- benchmark datasets
- prediction accuracy
- k nearest neighbor
- multi class
- high resolution
- pattern recognition
- face recognition
- change detection
- kernel function
- training samples
- active learning
- image analysis
- training data
- data sets