## 3 Results
### Visual Assessments  
The three-band images reconstructed from the Bayer pattern data were corrected using the relative radiometric calibration parameters. Comparing Figure 12 to Figure 10b-d, the relative corrected three-band images have no streaking or banding noise and no residual streaking, indicating that the detector radiometric response error of the Bayer pattern was calibrated.  
To better verify the radiometric correction effect, the original Bayer pattern images before and after the radiometric correction were subjected to Bayer interpolation to obtain RGB color images. The Bayer interpolation algorithm used a fast method of Bayer color reconstruction with a multi-orientation description proposed in the literature [20; 21]. Then, the interpolated color images were used to compare and analyze the validity of the radiometric calibration parameters because the human eye is more sensitive to color images. The raw Bayer pattern images of uniform ocean, cloud, and urban areas are shown in  
Figure 11: Relative radiometric calibration parameters of OVS mapping between the raw digital numbers (DNs) and the calibrated DNs (**a**), and radiometric response curves of various detectors under low, medium, and high DNs (**b**).  
Figure 10: Bayer pattern data (**a**); conversion to push-broom data, including the red band data (**b**); green band data (**c**); and blue band data (**d**).  
Figure 13a,d,g, respectively, with the problem of radiometric response streaks between detectors. Figure 13b,e,h show that the difference in radiometric response between the detectors of the Bayer pattern is enhanced by Bayer interpolation, and that image streaking is evident. This indicates that the Bayer interpolation algorithm enhances the radiometric response error between the detectors of the Bayer pattern and reduces the quality of the image, while the color relationship between the RGB bands is misaligned. The Bayer imaging data were radiometrically corrected and then Bayer interpolated, as shown in Figure 13c,f,i, where image stripes are completely absent, while image texture information is enhanced, color relationships are corrected, and the images are visually good. These characteristics indicate that the radiometric response errors between the original Bayer detectors were well corrected.  
Figure 12: The relative corrected reconstructed Bayer data, including red band data (**a**), green band data (**b**), and blue band data (**c**).  
Figure 13: Relative corrected images for various feature types of ocean (**a**–**c**), clouds (**d**–**f**), and urban areas (**g**–**i**): raw Bayer pattern images (**a**,**d**,**g**); uncalibrated Bayer interpolation images (**b**,**e**,**h**); and calibrated Bayer interpolation images (**c**,**f**,**i**).  
The magnified detail comparison of the original Bayer pattern data, the uncorrected interpolated image, and the relative radiometric corrected interpolated image show that the Bayer interpolation without relative radiometric correction lost image details, which prevented it from recovering the true color relationship between the bands (Figure 14b). Figure 14c shows that after relative radiometric calibration and Bayer interpolation, the true color and detailed texture information of the features were fully recovered. The results show that Bayer interpolation was greatly affected by the radiometric response error of the Bayer detectors, and the relative radiometric calibration is an essential step before Bayer interpolation for Bayer pattern type remote sensing sensors.