摘要
针对农业气象与生态自动化观测对偏振光图像处理的迫切需求,利用带偏振片的便携式光谱仪和室内多角度观测平台对具有毛刺特征的新老玉米叶片、具有绒毛特征的枇杷和金光菊叶片、具有蜡质层特征的茶花和桃树叶片等几组代表性植物进行了偏振反射光谱测量和分析。结果表明:叶片表面毛刺越多、绒毛越多、蜡质层越薄,其偏振反射越低;三种特征中对偏振度的影响最大是蜡质层,毛刺次之,绒毛的影响相对较小;蜡质层对偏振反射和偏振度的影响均很明显。研究结果为农业气象与生态自动化观测以及利用偏振光谱对植物进行遥感识别、分类与监测评估提供了实验基础和科学依据。
Be aimed at the urgent demand of agrometeorological and ecological automatic observation for polarized light image processing, the portable spectrometer with polarizer and the indoor multi-angle observation platform were applied to measure and analyze the polarized reflectance spectra of several groups of representative plant leaves with deferent foliar features, including the new and old corn leaves with bun- feature, the leaves of loquat and coneflower with villi feature, and leaves of Camellia and peach with a waxy layer. The results indicate that, the more burr, the more villi and the thinner of wax layer on leaves surface, the lower of polarized reflectance. In three features, the one has greatest impact on the degree of polarization is the waxy layer the second is burr and the impact of villi is relatively small. The wax layer has obvious impact both on the polarization reflectance and on the degree of polarization. The results of this study provide an experimental and scientific basis for agrometeorological and ecological automatic observation and the application of polarization spectra in the remote sensing identification, classification, monitoring and evaluation of plants.
出处
《气象研究与应用》
2017年第1期112-116,共5页
Journal of Meteorological Research and Application
基金
国家自然科学基金项目(41471277)
国家公益性行业(气象)科研专项(GYHY201406027-3)资助
关键词
偏振反射
植物叶片
叶面特征
polarization reflectance
plant leaf
foliar feature
