ABSTRACT

Through an unmanned vehicle payload calibration campaign experiments, both reflectance-based and irradiance-based methods are used to calibrate multispectral sensor. The results show that both methods achieved good linear relationships between the digital numbers and apparent radiances (R² > 0.99). Validation results demonstrated the relative error between the radiometric calibration and radiative transfer calculation ranged from 0.91% to 21.05%. The error analysis suggested that the irradiance-based method is less sensitive to aerosol parameters. However, the relative differences between these two methods are small under low aerosol loading conditions, suggesting the irradiance-based method may be a good option with some improvements.

摘要

通过无人驾驶车辆有效载荷校准活动实验，基于反射率和基于辐照度的方法均用于校准多光谱传感器。结果表明，这两种方法在数字和视在辐射之间取得了良好的线性关系（R ²  > 0.99）。验证结果表明辐射校准和辐射传输计算之间的相对误差在 0.91% 到 21.05% 之间。误差分析表明，基于辐照度的方法对气溶胶参数不太敏感。然而，这两种方法在低气溶胶负载条件下的相对差异很小，表明基于辐照度的方法可能是一个很好的选择，并有一些改进。