论文部分内容阅读
随着传感器技术的发展,高光谱数据光谱的波段宽度逐渐变窄,如何从海量的光谱数据中找到最优的光谱波段反演叶绿素含量,成为研究的难点问题。本文在测量华中农业大学狮子山6种主要树种的光谱数据和叶绿素含量的基础上,利用叶绿素指数(CI)和回归方法反演叶绿素含量,并分析了波段宽度对反演叶绿素含量结果的影响,结果发现波段宽度会影响到叶绿素反演的精度,当波段宽度为30nm时,叶绿素含量与“红边”区域(700nm-730nm)和近红外区域(770nm-800nm)叶绿素指标(CI)间的线性关系较好,决定系数可达到77.62%,均方根误差为10.6ug/cm2。
With the development of sensor technology, the band width of hyperspectral data spectrum becomes narrower gradually. How to find out the best spectral band from chlorophyll data to retrieve chlorophyll content becomes a difficult problem. Based on the spectral data and chlorophyll content of six main tree species in the Lion Rock of Huazhong Agricultural University, the chlorophyll content was calculated by using the chlorophyll index (CI) and the regression method. The effects of the band width on the inversion of chlorophyll content were analyzed. The results showed that the band width affected the precision of chlorophyll inversion. When the band width was 30 nm, the correlation between chlorophyll content and the chlorophyll index (CI) in the “red edge” (700 nm-730 nm) and near infrared (770 nm-800 nm) The linear relationship is good, the determination coefficient can reach 77.62%, the root mean square error of 10.6ug / cm2.