【摘要】 高光谱数据包含着丰富光谱信息 ,能够定量地分析物质成分 [1 ] 。由高光谱数据 ,可以运用多元逐步线性回归方法反演植被生化组分含量 ,从而达到监测植被生长状况的目的 [2 ] 。本文具体介绍了多元逐步线性回归方法 ,及其在氮、木质素和纤维素含量估算中的应用更多还原

【Abstract】 Hyperspectral data contain plenty of information about space, radiation and spectrum, which makes it feasible to quantificationally analyze the chemical concentration of earth surface. Studying the spectral characteristics of main biochemical components of plants with hyperspectral data, we can determine the concentration of various componets by use of certain algorithm. In this way we can at last supervise the growing status of plants. In this paper, stepwise multiple linear regression and spectrum derivative techniques are introduced to calculate the concentration of nitrogen, lignin and cellulose in plant.更多还原