Vegetation-Ice-Bare Land Cover Conversion in the Oceanic Glacial Region of Tibet Based on Multiple Machine Learning Classifications.
Fangfang YangYanxu LiuLinlin XuKui LiPanpan HuJixing ChenPublished in: Remote. Sens. (2020)
Keyphrases
- land cover
- machine learning
- remote sensing
- supervised classification
- change detection
- multispectral
- satellite images
- remote sensing images
- remotely sensed data
- remotely sensed
- remote sensing data
- environmental variables
- geographic information systems
- remotely sensed images
- satellite data
- land cover change
- satellite imagery
- land cover classification
- high resolution
- data mining
- landsat tm
- database
- image analysis
- data analysis
- decision trees
- image regions
- index structure
- supervised learning
- active learning
- video sequences
- computer vision