Zetao CAO, Zidong FANG, Jin YAO, Liyang XIONG. Loess Landform Classification based on Random Forest [J]. Journal of Geo-information Science, 2020, 22(3): 452
- Journal of Geo-information Science
- Vol. 22, Issue 3, 452 (2020)
Fig. 1. Elevation of the study area and distribution of sampled geomorphic types
Fig. 2. Result of small watershed division
![Principle of Random Forest[56]](/Images/icon/loading.gif){kind=icon}
Fig. 3. Principle of Random Forest[56]
Fig. 4. Importance ranking of each feature of watershed in training area
Fig. 5. Relationship between prediction accuracy and features number
Fig. 6. Calibration results of the nTrees parameter
Fig. 7. Classification result of watershed based on random forest
Fig. 8. Result of fusion processing of classified watershed
Fig. 9. Spatial distribution of randomly sampled watersheds （used for accuracy verification）
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Table 1. Preliminary selection of basin features
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Table 2. Number of sample areas per geomorphological type
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Table 3. Confusion Matrix between RF classification result and manual interpretation result
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Table 4. Classification accuarcies of different landforms
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