基于统计的大豆叶片氮含量高光谱遥感模型研究

Research on the Hyperspectral Remote Sensing Model of Nitrogen Content in Soybean Leaves Based on Statistics

近年来,伴随着遥感技术的快速发展,使得人们能够快速的、大面积的获取农业信息成为可能,在对作物生化组织含量的监测中得到很好的利用。本论文基于统计的方法对大豆叶片氮含量的模型进行研究,利用反射率二阶导数、连续统去除后的反射率光谱、反射率倒数的对数、Log(1/R)的一阶导数等作为自变量,以大豆氮含量作为因变量,利用统计分析方法建立回归预测模型,确定氮含量的敏感波段,建立氮含量与选取的波谱指数之间的回归关系。

In recent years, along with the rapid development of remote sensing technology, people have been able to obtain agricultural information quickly and widely, and have been well utilized in monitoring the content of crop biochemical organizations. In this paper, based on the statistical method, the model of soybean leaf nitrogen content was studied. The second derivative of the reflectance, the reflectance spectrum after removal of the continuum, the logarithm of the reciprocal reflectance, and the first derivative of Log（l/R） are used as independent variables,using soybean N content as a dependent variable, using statistical analysis methods to establish a regression prediction model. Determine the nitrogen sensitivity band and establish the regression relationship between nitrogen content and selected spectrum index.