An Application of Geographical Random Forests for Population Estimation in Dakar, Senegal using Very-High-Resolution Satellite Imagery.
Stefanos GeorganosTaïs GrippaAssane GadiagaSabine VanhuysseStamatis KalogirouMoritz LennertCatherine LinardPublished in: JURSE (2019)
Keyphrases
- random forests
- satellite imagery
- random forest
- remote sensing
- change detection
- decision trees
- satellite images
- machine learning algorithms
- logistic regression
- ensemble methods
- tree ensembles
- randomized trees
- decision tree ensembles
- regression forests
- land cover
- image classification
- feature space
- urban areas
- image segmentation
- machine learning methods
- data model
- image analysis
- pairwise
- bayesian networks
- learning algorithm
- machine learning
- data sets