Comparison of Support Vector Machines and Random Forests for Corine Land Cover Mapping.
Anca DabijaMarcin KluczekBogdan ZagajewskiEdwin RaczkoMarlena KyckoAhmed H. Al-SulttaniAnna TardaLydia PinedaJordi CorberaPublished in: Remote. Sens. (2021)
Keyphrases
- random forests
- land cover
- logistic regression
- support vector
- random forest
- remote sensing
- change detection
- remote sensing images
- multispectral
- decision trees
- machine learning algorithms
- ensemble methods
- supervised classification
- satellite images
- decision tree ensembles
- geographic information systems
- loss function
- text mining
- support vector machine
- classification accuracy
- feature space
- data streams
- pattern recognition
- high quality