松毛虫危害马尾松光谱特征分析与等级检测  

Spectral Features Analysis of Pinus massoniana with Pest of Dendrolimus punctatus Walker and Levels Detection

作　　者：许章华[1,2] 刘健[1,2,3] 余坤勇[1,2] 龚从宏[1,2] 谢婉君[1,2] 唐梦雅[1,2] 赖日文[1,2] 李增禄[1,3] 

机构地区：[1]福建农林大学3S技术应用研究所,福建福州350002 [2]福建农林大学林学院,福建福州350002 [3]三明学院,福建三明365000

出　　处：《光谱学与光谱分析》2013年第2期428-433,共6页Spectroscopy and Spectral Analysis

基　　金：福建省科技计划重点项目(2011N0031);国家自然科学基金项目(30871965);国家"十二五"科技支撑计划(2012BAD23B04)资助

摘　　要：以福建省延平区实测51条不同虫害等级的马尾松高光谱数据为基础,对健康、轻度虫害、中度虫害、重度虫害等4个虫害等级光谱反射率及一阶微分光谱特征进行分析,并在建立7个检验参数的基础上,构建了虫害等级的检测模型。结果表明:(1)虫害状态下的马尾松光谱反射率明显较健康状态低,虫害等级越高,反射率越低;(2)随着虫害等级的上升,马尾松光谱反射率曲线"绿峰"和"红谷"渐趋消失,红边被拉平;(3)虫害导致光谱"绿峰"红移、红边位置蓝移,但"红谷"与近红外反射峰位置的变化则较为复杂;(4)CARI,RES,REA,REDVI与松毛虫害等级显著相关,REP,RERVI,RENDVI与虫害等级的相关性较弱;(5)以7个检验参数为自变量的多元线性回归模型可以较为有效地检测松毛虫害等级,检测精度与准确度均达0.85以上。Taking 51 field measured hyperspectral data with different pest levels in Yanping, Fujian Province as objects, the spectral reflectance and first derivative features of 4 levels of healthy, mild, moderate and severe insect pest were analyzed. On the basis of 7 detecting parameters construction, the pest level detecting models were built. The results showed that （1） the spectral reflectance of Pinus massoniana with pests were significantly lower than that of healthy state, and the higher the pest level, the lower the reflectance~ （2） with the increase in pest level, the spectral reflectance curves＇ ＂green peak＂ and ＂red val- ley＂ of Pinusmassoniana gradually disappeared, and the red edge was leveled; （3） the pest led to spectral ＂green peak＂ red shift, red edge position blue shift, but the changes in ＂red valley＂ and near-infrared position were compIicated; （4） CARI, RES, REAL and REDVI were highly relevant to pest levels, and the correlations between REP, RERVI, RENDVI and pest level were weak; （5） the multiple linear regression model with the variables of the 7 detection parameters could effectively detect the pest levels of Dendrolimus punctatus Walker, with both the estimation rate and accuracy above 0. 85.

关 键 词：马尾松毛虫 虫害等级 马尾松 光谱特征 一阶微分光谱特征 检测参数 

分 类 号：TP79[自动化与计算机技术—检测技术与自动化装置] P237[自动化与计算机技术—控制科学与工程]