Impact of Training Data Size on Classifiers When Coarse Resolution Imageries Were Used for Regional Land Cover Mapping.
Tesfaye AdugnaHaitao JiaWenbo XuXin LuoJinlong FanPublished in: IGARSS (2023)
Keyphrases
- training data
- land cover
- supervised classification
- remote sensing
- change detection
- satellite images
- training set
- multispectral
- decision trees
- supervised learning
- data sets
- remote sensing images
- high resolution
- remote sensing data
- training samples
- remotely sensed images
- multiresolution
- environmental variables
- land cover classification
- labeled data
- feature selection
- remotely sensed data
- geographic information systems
- pattern recognition
- database systems
- image processing