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发明公开
CN108169141A 一种基于高光谱图像的茶树LAI及氮含量估算方法 无效 - 驳回

一种基于高光谱图像的茶树LAI及氮含量估算方法
摘要：
本发明公开了一种基于高光谱图像的茶树LAI及氮含量估算方法，具体过程如下：首先获取多株茶树作为试验样本，通过作为试验样本的茶树的LAI、氮含量以及高光谱位置变量、高光谱面积变量和植被指数变量的相关性和回归分析，建立最终的茶树LAI估算模型和最终的茶树氮含量估算模型；针对于需要测试LAI和氮含量的茶树，获取到该茶树的高光谱位置变量、高光谱面积变量和植被指数变量，然后将该茶树对应的上述变量分别输入到最终的茶树LAI估算模型和最终的茶树氮含量估算模型，即可计算得到该茶树的LAI和氮含量。本发明方法具有茶树的LAI、氮含量估算实时、快速以及无损的优点。
摘要（英）：

The invention discloses a tea tree LAI and nitrogen content estimation method based on hyperspectral images. The method comprises acquiring multiple tea plants as test samples, carrying out correlation and regression analysis on LAI, nitrogen content, hyperspectral position variable, hyperspectral area variable and vegetation index variable of a tea tree as a test sample, building a final tea treeLAI estimation model and a final tea tree nitrogen content estimation model, acquiring hyperspectral position variable, hyperspectral area variable and vegetation index variable of the tea tree needing the LAI and nitrogen content test, respectively inputting the above variables of the tea tree into the final tea tree LAI estimation model and the final tea tree nitrogen content estimation model and calculating the LAI and nitrogen content of the tea tree. The method has the advantages of real-time estimation of LAI and nitrogen content of a tea tree, fastness and no damage.

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