Automated Training Sample Extraction for Global Land Cover Mapping.
Julien RadouxCéline LamarcheEric Van BogaertSophie BontempsCarsten BrockmannPierre DefournyPublished in: Remote. Sens. (2014)
Keyphrases
- training samples
- land cover
- change detection
- remote sensing
- test sample
- multispectral
- remote sensing images
- training set
- supervised learning
- supervised classification
- satellite images
- remotely sensed images
- training data
- feature space
- geographic information systems
- high dimensional
- remote sensing data
- remotely sensed data
- learning algorithm
- database
- high quality
- environmental variables
- classification method
- database management
- data mining