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虫害水平与植物影像色调的相关性研究
引用本文:周坚华,周一凡,夏希纳.虫害水平与植物影像色调的相关性研究[J].植物保护,2005,31(4):24-28.
作者姓名:周坚华  周一凡  夏希纳
作者单位:1. 华东师范大学资源与环境学院,上海,200062
2. 北京大学数学科学系,北京,100871
3. 上海市绿化管理指导站,上海,200020
摘    要:植物发生病虫害时,叶绿素水平会出现不同程度的下降,这种下降通常表现为近红外波段的反射率下降,在近红外遥感图像上可以探测到这种变化。通过一元回归分析证实了虫害水平与植物近红外影像色调具有显著相关性,研究了反射率测定及相关分析中采样位置与植物病虫害水平信息的关系,并对区分虫害类型是否有助于提高相关性等进行了比较研究。最后通过给出描述虫害水平与植物近红外影像色调关系的定量表达式和开发出相应的采样分析软件,使遥感技术大面积、快速监测城市绿化植物虫情成为可能。

关 键 词:植物病虫害测报学  植物虫害  遥感技术  影像色调  相关分析
收稿时间:2005-04-27
修稿时间:2005-04-27

A study on the pertinence between the level of insect pests and the tone of host plants in remote sensing images
ZHOU Jian-hua;ZHOU Yi-fan;XIA Xi-na.A study on the pertinence between the level of insect pests and the tone of host plants in remote sensing images[J].Plant Protection,2005,31(4):24-28.
Authors:ZHOU Jian-hua;ZHOU Yi-fan;XIA Xi-na
Institution:1.College of Resource and Environment;East China Normal University;Shanghai 200062;China;2.Department of Mathematics Science;Beijing University;Beijing 100871;China;3.Shanghai Bureau of Planting Management and Guidance;Shanghai 200020;China
Abstract:he pertinence between the level of insect pests and the tone of host plants in remote sensing images was discussed in this paper. When the vegetation suffers from insect pests, its chlorophyll level will drop by different degrees, which will then be represented by descending in its near-infrared reflectivity by different degrees, and this kind of descending can be detected in nearinfrared remote sensing images. It was confirmed that there was a remarkable pertinence between the level of insect pests and the tone of host plants in remnote sensing images by dual regression analysis. In the same time, some other aspects that are related to the reflectivity were tested, such as where the best side of the image of a plant representing the level of insect pests is, whether it could improve the precision of the correlation analysis by dividing insects into different types. It is possible to investigate the insects on vegetables on the urban green lands by a large scale and with high efficiency by using remote sensing technique, because the quantitative correlation equations between the level of insect pests and the tone of vegetables in remote sensing images has been deduced and the program for sampling and analyzing has been developed.
Keywords:forecasting of plant diseases and pests  insect pest  remote sensing  image tone  correlation analysis
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