Large-Scale Land Cover Mapping of Satellite Images Using Ensemble of Random Forests with Multi-Resolution Label - IEEE Data Fusion Contest 2020 Track 2.
Huijun ChenChanglin XiaoWei LiuRongjun QinPublished in: IGARSS (2020)
Keyphrases
- random forests
- data fusion
- satellite images
- land cover
- multiresolution
- random forest
- ensemble methods
- remote sensing
- multispectral
- change detection
- image fusion
- multi sensor
- satellite imagery
- decision trees
- remote sensing images
- satellite data
- remotely sensed images
- multi label
- landsat tm
- tree ensembles
- decision tree ensembles
- machine learning algorithms
- logistic regression
- remotely sensed
- multi source
- digital elevation models
- urban areas
- fusion methods
- supervised classification
- fusion method
- randomized trees
- prediction accuracy
- high spatial resolution
- high resolution
- hyperspectral
- geographic information systems
- image data
- databases
- data sets
- data management
- neural network
- data mining
- benchmark datasets