Comparison of Random Forest and Support Vector Machine Classifiers for Regional Land Cover Mapping Using Coarse Resolution FY-3C Images.
Tesfaye AdugnaWenbo XuJinlong FanPublished in: Remote. Sens. (2022)
Keyphrases
- random forest
- satellite images
- land cover
- image data
- support vector machine classifiers
- image analysis
- image classification
- decision trees
- multispectral
- image retrieval
- computer vision
- remote sensing
- feature set
- image features
- high resolution
- multi class
- multiresolution
- reinforcement learning
- classification accuracy
- change detection
- remote sensing images
- data sets