基于Sentinel-2A影像特征优选的随机森林土地覆盖分类
|
|
何云, 黄翀, 李贺, 刘庆生, 刘高焕, 周振超, 张晨晨
|
Land-cover classification of random forest based on Sentinel-2A image feature optimization
|
|
Yun HE, Chong HUANG, He LI, Qingsheng LIU, Gaohuan LIU, Zhenchao ZHOU, Chenchen ZHANG
|
|
| 表1 特征重要性评估结果 |
| Table 1 Feature importance assessment result |
|
| 特征 | 重要性/% | 特征 | 重要性/% | | Blue | 14.51 | NIR_2 | 2.84 | | SWIR_1 | 8.75 | RVI | 2.04 | | Green | 8.48 | Energy_2 | 2.01 | | Mean_1 | 8.41 | NIR_1 | 1.93 | | Red | 8.35 | NDWI | 1.57 | | SWIR_2 | 7.43 | NDVI | 0.99 | | Red edge_1 | 6.58 | Contrast_2 | 0.84 | | DVI | 6.46 | Contrast _1 | 0.54 | | Mean_2 | 5.61 | Entropy_1 | 0.33 | | Red edge_3 | 5.44 | Entropy_2 | 0.22 | | Red edge_2 | 3.51 | Correlation_2 | 0.13 | | Energy_1 | 2.90 | Correlation _1 | 0.13 |
|
|
|