## 3 Results
### Accuracy Assessments  
For the quantitative assessment, the residual error in the high-frequency radiometric response between adjacent detectors and the residual error in the low-frequency response between all detectors in the full field of view of the sensor are measured in terms of both the streaking metrics and the root-mean-square for the column mean of the images. In the ocean uniform scene, there is a jump in the mean value of the adjacent columns of the raw image (Figure 15a) and the value of the streaking metrics is much greater than 1% (Figure 15b-d), reaching around 9%. This indicates that there is a greater high frequency radiometric response error for each adjacent detector of the Bayer sensor, while the radiometric response of the left detectors in the field of view is systematically lower than that of the right detectors (Figure 15a). There is also a low frequency radiometric response error in all detectors; however, after radiometric correction, both high- and low-frequency radiometric response errors were eliminated, but the mean values of the images in each band remained unchanged and the spectral characteristics of the features were maintained, which indicates that the radiometric quality of the three-band images was  
Figure 14: Comparison of a specific Bayer image enlarged four times: (**a**) raw Bayer data, (**b**) uncalibrated Bayer interpolation data, and (**c**) calibrated Bayer interpolation data. improved (Figure 15) and that the method in this study can calibrate Bayer pattern sensors and eliminate their various low- and high-frequency radiometric response errors. Furthermore, the specific indexes of a dozen regional radiometric correction images under the various previously mentioned incident radiances were calculated, as shown in Table 2. The accuracy of the relative radiation calibration of three-band the OVS is better than 0.80%, 0.71%, and 0.54% for the red, green, and blue bands, respectively, meeting the requirement of obtaining a relative radiation calibration accuracy better than 3%. \begin{table}
\begin{tabular}{c c c c c c} \hline
**CMOS** & **Zone** & **Band** & **Average DNs** & **Streaking Metrics (\%)** & **RMS (\%)** \\ \hline \multirow{6}{*}{1} & & R & 174.464505 & 0.252942 & 0.553052 \\  & 1 & G & 303.027251 & 0.128574 & 0.389035 \\  & & B & 299.120944 & 0.101004 & 0.286782 \\  & & R & 145.834542 & 0.602074 & 0.689595 \\  & 2 & G & 278.809108 & 0.434780 & 0.380873 \\  & & B & 280.663032 & 0.358834 & 0.377148 \\  & & R & 187.183937 & 0.834730 & 0.602284 \\  & 3 & G & 330.415927 & 0.708178 & 0.472996 \\  & & B & 322.815496 & 0.643862 & 0.382063 \\  & & R & 633.844315 & 0.505590 & 1.452498 \\  & 4 & G & 885.569805 & 0.469941 & 1.384834 \\  & & B & 689.440504 & 0.438069 & 0.987072 \\ \hline \end{tabular}
\end{table} 
Table 2: Accuracy of the OVS satellite relative radiometric calibration. Figure 15: Distribution of column means of level zero image (**a**) and RGB band streaking metrics (**b–d**) before and after relative correction. Although the relative radiation correction accuracy for both high and low frequencies of the OVS satellite is better than 1%, there is a tendency for the radiometric correction accuracy to deteriorate for each band at varying DNs. Figure 16 shows that the correction accuracy for low and medium incident DNs was better than that for high DNs and that the relative radiation correction accuracy became progressively worse as the DN increases. This result shows that although the calibration samples are large, the medium DN samples account for the majority of DNs and high DN samples are relatively limited. This results in a lack of accuracy in the expression of the relative radiometric response model relationships between the high DNs, which is a limitation of the statistical calibration method and requires attention in the on-orbit relative radiometric calibration.