期刊论文

Liu Jun-ang

中文

光谱学与光谱分析

1000-0593

2012

32

5

1221-1224

10.3964/j.issn.1000-0593(2012)05-1221-04

31170598:国家自然科学基金 2011-05:国家林业局项目（非规范项目名称）

本校为第一且通讯机构

分析炭疽病侵染后油茶冠层的可见-近红外光谱特征, 探索建立病害胁迫下油茶冠层叶片叶绿素含量的预测模型。 通过实地调查病情指数, 获取不同病害程度的油茶冠层叶片光谱数据及其叶绿素含量, 并对光谱数据进行了一阶微分与滑动平均滤波相结合的预处理, 再通过光谱数据重采样, 提取敏感波段建立了叶绿素含量的BP神经网络预测模型。 结果表明: (1)随着病情的加重, 油茶冠层光谱可见光区域的反射峰和吸收谷逐渐消失; 红光到近红外陡峭的红边被逐渐拉平; 在近红外区域, 健康油茶的光谱反射率明显大于感病油茶的光谱反射率。 (2)微分光谱484~512, 533~565, 586~606和672~724 nm四个波段是叶绿素吸收和...

The prediction model of chlorophyll content of leaves in canopies of oil camelliae under disease was explored and built by analyzing the Vis/NIR spectroscopy characteristics of oil camelliae canopies after being injected with anthracnose. Through field survey of disease index (DI), chlorophyll content and spectral data of leaves in canopies surviving different severity of disease were acquired. The first order differential of spectral data combined with moving average filter was pretreated. The prediction model of BP neural network of chlorophyll content was built by extracting sensitive wave ...