Rapid Land Cover Map Updates Using Change Detection and Robust Random Forest Classifiers.
Konrad J. WesselsFrans van den BerghDavid P. RoyBrian P. SalmonKaren C. SteenkampBryan MacAlisterDerick SwanepoelDebbie JewittPublished in: Remote. Sens. (2016)
Keyphrases
- change detection
- random forest
- land cover
- feature set
- decision trees
- remote sensing
- remote sensing images
- remote sensing imagery
- land cover change
- ensemble classifier
- remotely sensed images
- supervised classification
- satellite imagery
- data streams
- satellite images
- remote sensing data
- ensemble methods
- remotely sensed
- geographic information systems
- machine learning methods
- multispectral
- landsat tm
- image registration
- climate change
- concept drift
- support vector
- hyperspectral
- feature extraction
- classification accuracy
- image processing
- machine learning
- data mining
- feature selection
- training data
- wavelet transformation
- feature space
- training set
- image analysis
- text classification
- naive bayes
- data fusion