无人机点云与图像跨模态混合融合的乔木林单木尺度树种分类研究
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鄢敏,夏永华,王冲,孔夏丽,太浩宇,李晨
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Study on Classification of Arbor Tree Species at Single Tree Scale based on Cross-modal Hybrid Fusion of UAV Point Cloud and Image
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Min YAN,Yonghua XIA,Chong WANG,Xiali KONG,Haoyu TAI,Chen LI
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表5 各算法参数设置
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Table 5 Parameter Settings of each algorithm
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| SVM | RF | XGBoost | LightGBM |
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c=15, 55(LMF) g=0.01 | max_depth =5 n_estimators=500 | max_depth=5 learning_rate=0.1 n_estimators=500 | max_depth=5 learning_rate=0.1 n_estimators=500 num_leaves=60 | | Bagging | AdaBoost | Blending | Stacking | base_estimator=LightGBM n_estimators=500 max_samples=10 max_feature=10 | base_estimator=LightGBM n_estimators=500 learning_rate=0.1 | base_estimator： XGBoost、LightGBM、RF meta_estimator： Naive Bayes | base_estimator： XGBoost、LightGBM、RF meta _estimator： Naive Bayes |
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