Urban Land Use and Land Cover Change Analysis Using Random Forest Classification of Landsat Time Series.
Saeid AminiMohsen SaberHamidreza Rabiei-DastjerdiSaeid HomayouniPublished in: Remote. Sens. (2022)
Keyphrases
- random forest
- decision trees
- random forests
- feature set
- fold cross validation
- supervised classification
- pattern recognition
- machine learning
- satellite images
- data sets
- thematic mapper
- text classification
- remote sensing images
- change detection
- urban areas
- feature vectors
- land cover
- spatial analysis
- land use change
- multi label
- multispectral
- benchmark datasets
- text categorization
- unsupervised learning
- active learning
- training set