基于PHI高光谱影像的植被光谱特征应用研究

探讨了植被冠层的光谱反射特征和诊断性光谱吸收特征。从连续统去除的光谱吸收特征中获得了波段深度、连续统去除后微分反射比、波段深度比和归一化波段深度指数等光谱特征变量。应用染有病害的多时相小麦PHI（Pushbroom hyperspectral imager）航空高光谱影像数据，分析了小麦病害对小麦光谱的影响及其光谱特征；运用微分光谱特征分析了监测小麦病害的可能性。

Application of vegetation spectral features based on PHI imaging data

This paper analyzes the spectral reflected features and diagnostic absorption features of vegetation based on the hyperspectral imaging data,and describes spectral First Derivative Reflectance and some feature variables derived from continuum-removed absorption features such as Band Depth(BD),Continuum-Removed Derivative Reflectance(CRDR),Band Depth Ratio(BDR),Normalized Band Depth Index(NBDI) and so on.By analyzing on the multi-temporal wheat PHI(Pushbroom hyperspectral imager) airborne image data acquired form booting stage to milking stage which was infected by stripe rust disease,the influence on crop spectra and spectral features of wheat stripe rust disease were understood and found out.And the probability of recognizing and monitoring wheat stripe rust disease was also analyzed in terms of the crop spectral features and the continuum-removed absorption parameters and the variables from the spectral absorption features.