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遭遇台风0613号袭击之后,日本山口市的许多乔木和灌木出现叶尖和叶缘甚至整叶黄化和坏死的症状。同一竹林林分中既有黄化叶片也有坏斑叶片。本文用非破坏、非接触的RGB图像分析法研究了这一现象。研究表明,室内拍摄的黄化竹单叶图像的G/R值与叶绿素计(SPAD)值之间呈紧密的正相关,平方回归相关系数0.961;与坏死斑面积率之间呈反逻辑斯蒂函数关系,平方回归相关系数0.958。用RGB图像分析法不仅可以估测叶片的黄化程度而且可也估测叶片的坏死斑面积。研究还发现,光线差异较大时拍摄的图片,相同叶片的G/L值的方差小于G/R值的方差值,尤其是绿色叶片。与G/R相比,黄化叶片的G/L值得到了与SPAD更紧密的相关性。室外拍摄的竹林冠分析表明,光线差别较大的图像G/L值与林分距海岸的距离的相关性也高于G/R值。
After the typhoon hit 0613, many trees and shrubs in Japan’s Yamaguchi City developed symptoms of yellowing and necrosis of the leaf tips and leaf margins and even the whole leaf. In the same bamboo forest, there are both yellowed and spotted leaves. This paper investigates this phenomenon using non-destructive, non-contact RGB image analysis. The results showed that there was a close positive correlation between G / R value and chlorophyll meter (SPAD) values of yellow bamboo single leaf images taken indoor, the square regression correlation coefficient was 0.961, and the area ratio of necrotic spots was inverse Logistic function , The square regression correlation coefficient 0.958. Using RGB image analysis can not only estimate the degree of leaf yellowing but also the leaf necrosis area can also be estimated. The study also found that when the light difference is larger, the variance of the G / L value of the same leaf is smaller than that of the G / R value, especially the green leaf. Compared to G / R, the G / L values of the etiolated leaves yielded a closer correlation with SPAD. The outdoor shoots of bamboo canopy showed that the correlation between the G / L value and the distance from the coast to the G / R value of the image with larger light difference was also higher.