针对绿色植被反射光谱的特点，指出植被反射光谱曲线的相对位置关系可以作为先验知识应用到对植被结构的反演中，提出了在绿光、红光和近红外波段重新构造光谱参数，并利用波段差值和比值描述光谱先验知识进而反演树冠结构参数的方法。经大量的模拟反演及统计分析表明，相对于各波段单独反演再对结构参数平均的方法，该方法的抗噪声能力 得到了明显的增强。对实测反射率数据的反演发现，引入光谱先验知识后的结果更为接近测量值。

Multiangular remote sensing observation can provide more spatial structure information that make it possible to retrieve the 3 D structural parameters of vegetation. Currently, most of the inversion algorithms only use one single band in the field of multiangular remote sensing, the correlation between bands hasn't been used efficiently for green vegetation. From the reflectance spectrum characteristic of green vegetation, we found that the basic shape of the spectrum can be used as prior knowledge in the inversion of vegetation structure. As a framework in this paper, spectral parameters were regenerated in the band of red, green and near infrared, their difference and ratio are used as the spectral prior knowledge in inversion. Through detailed simulation and inversion, it is clear from the statistical analysis that this method is more stable to observe noise than the single band based method which uses the averaged structural parameters inverted using one single band each time. It is also found that the inversion results tend to be closer to the ground truth than the single band based method after employing this kind of spectral prior knowledge.