Maximizing land cover classification accuracies produced by decision trees at continental to global scales.
Mark A. FriedlCarla E. BrodleyAlan H. StrahlerPublished in: IEEE Trans. Geosci. Remote. Sens. (1999)
Keyphrases
- land cover
- decision trees
- remote sensing
- multispectral
- change detection
- remotely sensed images
- remote sensing images
- satellite images
- remote sensing imagery
- remotely sensed data
- supervised classification
- remote sensing data
- satellite data
- environmental variables
- geographic information systems
- machine learning
- training data
- urban growth
- image processing
- data sets
- land cover classification
- object recognition
- neural network
- unsupervised learning
- reinforcement learning
- image segmentation