Mapping the Essential Urban Land Use in Changchun by Applying Random Forest and Multi-Source Geospatial Data.
Shouzhi ChangZongming WangDehua MaoKehan GuanMingming JiaChaoqun ChenPublished in: Remote. Sens. (2020)
Keyphrases
- random forest
- multi source
- geospatial data
- multiple sources
- geospatial information
- spatial data
- data sources
- decision trees
- urban areas
- data integration
- data fusion
- feature set
- information fusion
- heterogeneous data
- ensemble methods
- data management
- spatial databases
- data processing
- data model
- multi label
- base classifiers
- remote sensing
- community detection
- data sets
- dimensionality reduction
- text mining
- collaborative filtering
- decision making