光谱学与光谱分析, 2020, 40 (3): 898, 网络出版: 2020-03-25  

基于长短期记忆网络的冬小麦连续时序叶面积指数预测

Prediction of Continuous Time Series Leaf Area Index Based on Long Short-Term Memory Network: a Case Study of Winter Wheat
作者单位
1 北京大学地球与空间科学学院遥感与地理信息系统研究所, 北京 100871
2 地理信息基础软件与应用工程技术研究中心, 北京 100871
3 空间信息集成与3S工程应用北京市重点实验室, 北京 100871
引用该论文

龙泽昊, 秦其明, 张添源, 许伟. 基于长短期记忆网络的冬小麦连续时序叶面积指数预测[J]. 光谱学与光谱分析, 2020, 40(3): 898.

LONG Ze-hao, QIN Qi-ming, ZHANG Tian-yuan, XU Wei. Prediction of Continuous Time Series Leaf Area Index Based on Long Short-Term Memory Network: a Case Study of Winter Wheat[J]. Spectroscopy and Spectral Analysis, 2020, 40(3): 898.

参考文献

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龙泽昊, 秦其明, 张添源, 许伟. 基于长短期记忆网络的冬小麦连续时序叶面积指数预测[J]. 光谱学与光谱分析, 2020, 40(3): 898. LONG Ze-hao, QIN Qi-ming, ZHANG Tian-yuan, XU Wei. Prediction of Continuous Time Series Leaf Area Index Based on Long Short-Term Memory Network: a Case Study of Winter Wheat[J]. Spectroscopy and Spectral Analysis, 2020, 40(3): 898.

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