Using MODIS time series and random forests classification for mapping land use in South-East Asia.
Cornelius SenfPatrick HostertSebastian van der LindenPublished in: IGARSS (2012)
Keyphrases
- south east
- random forests
- land cover classification
- decision trees
- tree ensembles
- machine learning algorithms
- regression forests
- random forest
- accurate classifiers
- remote sensing
- logistic regression
- randomized trees
- remote sensing data
- los angeles
- classification and regression trees
- land cover
- supervised classification
- classification accuracy
- ensemble methods
- feature selection
- decision tree ensembles
- machine learning
- support vector machine svm
- satellite images
- satellite data
- training samples
- machine learning methods
- k nearest neighbour
- head pose estimation
- text classification
- classification algorithm
- image classification
- supervised learning
- training set
- feature space
- similarity measure
- feature extraction
- geographic information systems