基于波段反射率日均增量的花生干旱灾情遥感评估
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齐文栋,李志刚,顾晓鹤
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Remote Sensing Evaluation of Peanut Drought Disaster based on Daily Average Increment of Multi-band Reflectivity
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Wendong Qi,Zhigang Li,Xiaohe Gu
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表 4 花生旱情等级识别精度评估
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Table 4 Evaluation of recognition accuracy of peanut drought grade
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| 分类器 | | 蓝 | 绿 | 红 | 近红外 | 绿+近红外 | 蓝+近红外 | 绿+蓝+近红外 |
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| 随机森林 | 总体精度 | 82.57% | 82.72% | 79.70% | 84.60% | 89.20% | 89.82% | 89.93% | | Kappa系数 | 0.734 1 | 0.733 5 | 0.686 9 | 0.764 9 | 0.835 3 | 0.846 | 0.847 1 | | 决策树C4.5 | 总体精度 | 76.83% | 77.30% | 71.76% | 76.88% | 81.83% | 84.45% | 81.16% | | Kappa系数 | 0.646 2 | 0.651 3 | 0.572 4 | 0.648 9 | 0.724 4 | 0.764 8 | 0.712 1 | | 逻辑回归 | 总体精度 | 56.16% | 56.11% | 57.41% | 64.61% | 65.24% | 66.65% | 67.69% | | Kappa系数 | 0.287 8 | 0.281 4 | 0.301 7 | 0.435 1 | 0.457 2 | 0.480 8 | 0.502 2 |
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