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

机译:CMOS获取裁剪图像未知峰波长敏感性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:值得注意的是使用三角形绿色指数(TGI)来估计农作物或叶绿素含量的植被分数,证明了作物健康监测的相关度量可以从可见光谱处的图像衍生出来。然而,基于TGI的度量在作物健康监测中的性能大大取决于用于获得作物RGB图像的CMOS传感器的波长敏感性的知识。当使用通用数码相机并且不可用CMOS传感器的规格时,这成为问题。本研究中的所提出的方法通过在670nm-,550nm-和480nm峰值波长的比例上执行参数扫描来补偿通用CMOS传感器的峰值波长灵敏度的信息,以导出由绿色标准化的TGI方程信号。这允许使用任何可用的数码相机,即使没有先前的安装CMOS传感器的可见光谱处的波长灵敏度的先验知识。

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