Optimal Sample Size and Composition for Crop Classification with Sen2-Agri's Random Forest Classifier.
Urs SchulthessFrancelino A. Rodrigues Jr.Matthieu TaymansNicolas BellemansSophie BontempsIvan Ortiz-MonasterioBruno GérardPierre DefournyPublished in: Remote. Sens. (2023)
Keyphrases
- sample size
- small sample size
- model selection
- small sample
- small samples
- worst case
- random sampling
- covariance matrix
- optimal solution
- upper bound
- machine learning
- cross validation
- statistical tests
- pac learning
- machine learning algorithms
- random sample
- support vector
- statistical hypothesis testing
- variance reduction
- number of training samples
- vc dimension
- feature selection
- class labels
- text classification
- supervised learning
- feature space
- decision trees
- feature subset
- high dimensionality
- generalization error
- learning problems
- classification algorithm
- support vector machine svm
- support vector machine
- statistical power
- progressive sampling