江西农业学报2018，Vol.30Issue(2)：100-104,5.DOI:10.19386/j.cnki.jxnyxb.2018.02.21
基于成像高光谱的苹果叶片叶绿素含量估测模型研究
Research on Estimation Models of Apple Leaf Chlorophyll Content Based on Imaging Hyperspectral Data
摘要
Abstract
The hyperspectral reflectivity and SPAD value of normal and red-spider-damaged apple leaves were used as the data sources,the correlations among the SPAD value,original spectral reflectance and its first-order derivative,and hyperspectral reflectance were analyzed,and the estimation models of apple leaf chlorophyll content were established based on the hyperspectral reflectance through the screening of sensitive bands. The results indicated that: the sensitive bands of chlorophyll content in nor-mal apple leaves were 513~539,564~585,694,699 and 720 nm,and the best estimation model of chlorophyll content was lin-ear functional model SPAD=152.450-1884.851R377; the sensitive bands of chlorophyll content in red-spider-damaged apple leaves were 961,972 and 720 nm, and the best estimation model of chlorophyll content was linear functional model SPAD=49.371-46428.473 R'972.关键词
高光谱/苹果/叶片/叶绿素/光谱特征/相关性Key words
Hyperspectrum/Apple/Leaf/Chlorophyll/Spectral feature/Correlation分类
农业科技引用本文复制引用
牛鲁燕,郑纪业,张晓艳,孙家波,王风云,孔庆福..基于成像高光谱的苹果叶片叶绿素含量估测模型研究[J].江西农业学报,2018,30(2):100-104,5.基金项目
精准农业关键技术研究项目(CXGC2017B04) （CXGC2017B04）
山东省重点研发计划项目(2016CYJS03A01-1) （2016CYJS03A01-1）
山东省农业科学院青年科研基金项目"基于高分辨率遥感影像的县域耕地专题信息快速提取技术研究"(2015YQN47). （2015YQN47）
