激光与光电子学进展, 2018, 55 (11): 113002, 网络出版: 2019-08-14   

利用随机森林方法优选光谱特征预测土壤水分含量 下载: 1056次

Prediction of Soil Moisture Content by Selecting Spectral Characteristics Using Random Forest Method
包青岭 1,2丁建丽 1,2,*王敬哲 1,2
作者单位
1 新疆大学资源与环境科学学院智慧城市与环境建模自治区普通高校重点实验室, 新疆 乌鲁木齐 830046
2 绿洲生态教育部重点实验室, 新疆 乌鲁木齐 830046
引用该论文

包青岭, 丁建丽, 王敬哲. 利用随机森林方法优选光谱特征预测土壤水分含量[J]. 激光与光电子学进展, 2018, 55(11): 113002.

Qingling Bao, Jianli Ding, Jingzhe Wang. Prediction of Soil Moisture Content by Selecting Spectral Characteristics Using Random Forest Method[J]. Laser & Optoelectronics Progress, 2018, 55(11): 113002.

参考文献

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包青岭, 丁建丽, 王敬哲. 利用随机森林方法优选光谱特征预测土壤水分含量[J]. 激光与光电子学进展, 2018, 55(11): 113002. Qingling Bao, Jianli Ding, Jingzhe Wang. Prediction of Soil Moisture Content by Selecting Spectral Characteristics Using Random Forest Method[J]. Laser & Optoelectronics Progress, 2018, 55(11): 113002.

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