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Extraction of spring farmland plastic mulching in Qianguo County based on Google Earth Engine
Deng Yunyao, Li Xiaojie, Ren Jianhua
SCIENTIA GEOGRAPHICA SINICA, 2024, 44(8): 1417-1425.   DOI: 10.13249/j.cnki.sgs.20230651

特征组合 分类方法 错分率/% 各地物分类精度
覆膜/% 旱地/% 水田/% 道路/% 林地/% 居民地/% 水体/% 未利用地/%
光学特征 CART 2.8 94.6 96.3 99.9 99.6 99.8 89.3 99.8 98.0
SVM 14.4 74.5 88.8 99.3 90.4 98.4 67.0 95.0 71.2
最小距离 23.9 56.0 67.8 94.3 89.0 88.0 50.0 96.3 67.8
GBDT 2.8 96.4 95.5 100.0 99.8 99.6 87.6 99.4 97.0
RF 3.0 96.3 95.8 99.9 100.0 99.6 86.3 99.8 98.6
雷达特征 CART 4.2 92.0 88.2 99.8 98.6 99.8 96.0 99.4 93.0
SVM 26.2 69.5 59.6 97.3 45.4 94.0 82.0 99.6 43.0
最小距离 39.4 42.2 31.8 79.0 59.0 42.0 57.6 92.6 80.4
GBDT 4.6 93.2 88.2 99.6 97.8 99.2 93.6 99.2 92.8
RF 3.8 93.8 90.9 99.7 99.0 99.4 96.6 99.6 90.6
联合光学与
雷达特征		 CART 2.0 97.2 96.8 100.0 99.2 99.6 95.3 99.4 96.6
SVM 8.5 76.3 91.1 99.7 90.0 99.6 96.0 99.6 79.6
最小距离 39.2 45.2 28.1 78.1 59.0 42.1 55.6 92.8 85.5
GBDT 1.5 97.0 97.6 100.0 99.6 99.6 97.0 99.6 97.6
RF 1.2 97.6 97.6 99.9 100.0 99.8 97.6 99.8 98.4
Table 2 Classification accuracy of different input features and machine learning methods
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