A Submonthly Surface Water Classification Framework via Gap-Fill Imputation and Random Forest Classifiers of Landsat Imagery.
Charles J. LabuzzettaZhengyuan ZhuXinyue ChangYuyu ZhouPublished in: Remote. Sens. (2021)
Keyphrases
- random forest
- ensemble classifier
- decision trees
- feature set
- fold cross validation
- support vector
- supervised classification
- thematic mapper
- svm classifier
- feature selection
- random forests
- classification algorithm
- feature vectors
- ensemble methods
- machine learning algorithms
- feature ranking
- training set
- ensemble learning
- classification models
- support vector machine
- base classifiers
- computer vision
- satellite imagery
- classification accuracy
- machine learning methods
- multispectral
- image classification
- class labels
- individual classifiers
- rotation forest
- support vector machine svm
- training samples
- multi label
- image processing
- benchmark datasets