不同核函数支持向量机和可见-近红外光谱的多种植被叶片生化组分估算

陈方圆^1,², 周鑫^1,², 陈奕云^1,², 王奕涵³, 刘会增^4,⁵, 王俊杰^5,⁶, 邬国锋^1,^5,^6,^*

Estimating Biochemical Component Contents of Diverse Plant Leaves with Different Kernel Based Support Vector Regression Models and VNIR Spectroscopy

CHEN Fang-yuan^1,², ZHOU Xin^1,², CHEN Yi-yun^1,², WANG Yi-han³, LIU Hui-zeng^4,⁵, WANG Jun-jie^5,⁶, WU Guo-feng^1,^5,^6,^*

植被叶片 c _N, c _P, c _K与预处理光谱的相关性===注: 虚线代表生化组分含量与原始光谱的相关性(a): 一阶微分变换与 c _N; (b): 一阶微分和SNV变换与 c _N; (c): 一阶微分和Log(1/ R )变换与 c _N; (d): 一阶微分变换与 c _P; (e): 一阶微分和SNV变换与 c _P; (f): 一阶微分和Log(1/ R )变换与 c _P; (g): 一阶微分变换与 c _K; (h): 一阶微分和SNV变换与 c _K; (i): 一阶微分和Log(1/ R )变换与 c _K