无人机高光谱影像与冠层树种多样性监测

徐岩, 张聪伶, 降瑞娇, 王子斐, 朱梦晨, 沈国春

UAV-based hyperspectral images and monitoring of canopy tree diversity

Yan Xu, Congling Zhang, Ruijiao Jiang, Zifei Wang, Mengchen Zhu, Guochun Shen

图2 冠层RGB影像与主成分分析(PCA)处理后的冠层高光谱影像对比图。(A)冠层RGB影像, 各树种冠层呈现相近的绿色; (B)通过PCA处理后的前三轴的冠层高光谱影像, 不同树种的林冠呈现不一样的颜色, 这意味着高光谱影像具备充分的潜力, 能够反映出不同树种之间的细微差异。

Fig. 2 Comparison of canopy RGB image and canopy hyperspectral image processed by principal component analysis (PCA). (A) The canopy RGB image shows that the canopy of each tree species is similar in green; (B) Through PCA processing of the first three axes of the canopy hyperspectral image, the canopy hyperspectral image of different tree species shows different colors, which means that the hyperspectral images have full potential to reflect the subtle differences between different tree species.