Examining the Roles of Spectral, Spatial, and Topographic Features in Improving Land-Cover and Forest Classifications in a Subtropical Region.
Xiaozhi YuDengsheng LuXiandie JiangGuiying LiYaoliang ChenDengqiu LiErxue ChenPublished in: Remote. Sens. (2020)
Keyphrases
- land cover
- spatial information
- spatial relationships
- remote sensing
- change detection
- land cover classification
- remote sensing data
- feature selection
- spatial data
- satellite images
- geographic information systems
- supervised classification
- feature extraction
- image classification
- image features
- data sets
- high quality
- decision trees
- hyperspectral imagery
- remotely sensed images
- remote sensing imagery