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Estimation of Triangular Greenness Index for Unknown PeakWavelength Sensitivity of CMOS-acquired Crop Images

机译:CMOS采集的作物图像的未知峰值波长灵敏度的三角绿色指数估计

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Notable works on the use of the triangular greenness index (TGI) to estimate vegetation fraction of croplands or chlorophyll content of crops, proved that relevant metrics on crop health monitoring can be derived from images at the visible spectrum. However, the performance of the TGI-based metric in crop health monitoring greatly depends on knowledge of wavelength sensitivities of the CMOS sensors used to obtain the RGB images of the crop. This becomes a problem when generic digital cameras are used and the specifications of the CMOS sensors are not available. The proposed method in this study compensates for the lack of information on the peak wavelength sensitivities of generic CMOS sensors by performing a parametric sweep on the proportions of 670nm-, 550nm-, and 480nm-peak wavelengths to derive a TGI equation normalized by the green signal. This allows the use of any available digital cameras even without prior knowledge of the wavelength sensitivity at the visible spectrum of the installed CMOS sensors.
机译:关于使用三角绿色指数(TGI)估算农田的植被比例或农作物的叶绿素含量的著名工作证明,可以从可见光谱图像得出有关作物健康监测的相关指标。但是,基于TGI的度量标准在作物健康监控中的性能很大程度上取决于对用于获取作物RGB图像的CMOS传感器的波长敏感性的了解。当使用通用数码相机并且没有CMOS传感器的规格时,这将成为一个问题。本研究中提出的方法通过对670nm,550nm和480nm峰值波长的比例执行参数扫描以导出由绿色归一化的TGI方程,从而弥补了有关通用CMOS传感器峰值波长灵敏度的信息不足的问题。信号。即使无需事先了解已安装的CMOS传感器在可见光谱范围内的波长灵敏度,这也可以使用任何可用的数码相机。

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