河南农业科学2016，Vol.45Issue(4)：150-154,5.DOI:10.15933/j.cnki.1004-3268.2016.04.034
基于成像高光谱的小麦叶片叶绿素含量估测模型研究
Research of Estimation Models of Wheat Chlorophyll Content Based on Imaging Hyperspectral Data
摘要
Abstract
In order to explore the wheat leaf spectral features and sensitive spectrum wave,the quantitative relationship models between the wheat chlorophyll content and the characteristics of spectrum was built,so as to promote the application of hyperspectral techniques in the real-time non-destructive detection of the wheat precise fertilization and the diagnosis of the growth of the wheat. The correlation coefficient between the chlorophyll content and spectral reflectance and its first deriviative was analyzed by correlation methods,and the chlorophyll content monitoring model was established. The beat models were SPAD=36. 75 +188. 168R387,SPAD=2094. 242R'7153 +112646. 744R'7152 -1. 561E7R'715 +42. 991 after evaluation and validation. These two models could be well estimated wheat lesf SPAD values, in comparision,the accuracy of the model which based on the band R387 for predicting the SPAD values was higher.关键词
高光谱/小麦/叶绿素/光谱特征/相关性Key words
hyperspectrum/wheat/chlorophyll/spectral features/correlation分类
农业科技引用本文复制引用
牛鲁燕,孙家波,刘延忠,张晓艳..基于成像高光谱的小麦叶片叶绿素含量估测模型研究[J].河南农业科学,2016,45(4):150-154,5.基金项目
山东省农业重大应用技术创新项目 （）
