# Remote Sensing Image Dehazing via Dual-View Knowledge Transfer
## 3 Results and Discussion
### Comparison with Other Image Dehazing Methods
#### 3.3.1 Quantitative Evaluations
\begin{table}
\begin{tabular}{c c c c c c c c c c c c} \hline \hline \multirow{2}{*}{**Methods**} & \multicolumn{3}{c}{**Thin Haze**} & \multicolumn{3}{c}{**Moderate Haze**} & \multicolumn{3}{c}{**Thick Haze**} & \multicolumn{3}{c}{**Mixed Haze**} \\ \cline{2-13}  & **PSNR** & **SSIM** & **LPIPS** & **PSNR** & **SSIM** & **LPIPS** & **PSNR** & **SSIM** & **LPIPS** \\ \hline DCP [11] & 19.1183 & 0.8518 & 0.1451 & 19.8384 & 0.8812 & 0.1198 & 16.7930 & 0.7701 & 0.2103 & 18.5833 & 0.8344 & 0.1602 \\ CEP [44] & 13.5997 & 0.7222 & 0.3201 & 14.212 & 0.7270 & 0.2294 & 16.0824 & 0.7762 & 0.2097 & 14.6950 & 0.7512 & 0.2703 \\ MOF [47] & 15.3891 & 0.7291 & 0.3002 & 14.7418 & 0.6256 & 0.3301 & 16.2495 & 0.6767 & 0.3303 & 15.5146 & 0.6859 & 0.3108 \\ AOD-Net [46] & 19.0548 & 0.7777 & 0.1903 & 19.4211 & 0.7015 & 0.2401 & 16.4672 & 0.7123 & 0.2702 & 17.4859 & 0.6332 & 0.3382 \\ Light-DehazeNet [48] & 18.4868 & 0.8658 & 0.1299 & 18.3918 & 0.8825 & 0.1002 & 16.7662 & 0.7697 & 0.2253 & 17.8132 & 0.8352 & 0.1499 \\ FFA-Net [23] & 20.1410 & 0.8582 & 0.1149 & 22.5586 & 0.9132 & 0.0657 & 19.1255 & 0.7976 & 0.1992 & 21.2873 & 0.8663 & 0.0998 \\ Restormer [49] & 20.9829 & 0.8686 & 0.1049 & 23.1574 & 0.9036 & 0.0598 & 19.6984 & 0.7739 & 0.2137 & 20.7892 & 0.8379 & 0.1479 \\ DehazeFormer [28] & 21.9274 & 0.8843 & 0.0918 & 24.4407 & 0.9268 & 0.0579 & 20.2133 & 0.8049 & 0.1635 & 22.0066 & 0.8659 & 0.1099 \\ SLP [45] & 16.4162 & 0.7428 & 0.2762 & 18.6182 & 0.7830 & 0.1837 & 16.5071 & 0.7659 & 0.2250 & 17.2483 & 0.7706 & 0.1852 \\ Trinity-Net [19] & 19.3708 & 0.7816 & 0.1761 & 19.6918 & 0.7066 & 0.2252 & 17.1281 & 0.7723 & 0.2116 & 17.6508 & 0.7864 & 0.1940 \\ DCRD-Net [50] & 20.8473 & 0.8767 & 0.0978 & 23.3119 & 0.9225 & 0.0589 & 19.7250 & 0.8121 & 0.1378 & 21.7468 & 0.8812 & 0.0849 \\ FCTF-Net [29] & 18.3262 & 0.8369 & 0.1362 & 20.9057 & 0.8553 & 0.1295 & 17.2551 & 0.6922 & 0.2897 & 19.5883 & 0.8434 & 0.1498 \\ SCSNet (Teacher) & 26.1460 & 0.9415 & 0.0583 & 28.3501 & 0.9566 & 0.0398 & 24.6542 & 0.9015 & 0.0649 & 25.1759 & 0.9223 & 0.0519 \\ Network [37] & **24.7284** & **0.9183** & **0.0618** & **27.0462** & **0.9417** & **0.0579** & **23.3136** & **0.8862** & **0.0919** & **23.9271** & **0.9105** & **0.0609** \\ \hline \hline \end{tabular}  
* The bold font highlights our proposed method.  
\end{table} 
Table 1: Qualitative comparison results on the SateHaze1k dataset. \begin{table}
\begin{tabular}{c c c c c c c c} \hline \hline \multirow{2}{*}{**Methods**} & \multicolumn{3}{c}{**RS-Haze**} & \multicolumn{3}{c}{**RSID**} \\ \cline{2-9}  & **PSNR** & **SSIM** & **LPIPS** & **PSNR** & **SSIM** & **LPIPS** \\ \hline DCP [11] & 18.1003 & 0.6704 & 0.2801 & 17.3256 & 0.7927 & 0.1699 \\ CEP [44] & 15.9097 & 0.5772 & 0.3502 & 14.2375 & 0.7034 & 0.2192 \\ MOF [47] & 16.1608 & 0.5628 & 0.3603 & 12.9052 & 0.6485 & 0.2901 \\ AOD-Net [46] & 23.9677 & 0.7207 & 0.1902 & 18.7037 & 0.7424 & 0.1781 \\ Light-DehazeNet [48] & 25.9965 & 0.8209 & 0.1203 & 17.9279 & 0.8414 & 0.1099 \\ FFA-Net [23] & 29.1932 & 0.8846 & 0.0898 & 21.2876 & 0.9042 & 0.0749 \\ Restormer [49] & 25.6700 & 0.7563 & 0.2001 & 11.7240 & 0.5971 & 0.3203 \\ DehazeFormer [28] & 29.3419 & 0.8730 & 0.0798 & 22.6859 & 0.9118 & 0.0649 \\ SLP [45] & 17.3805 & 0.6527 & 0.2882 & 16.7260 & 0.7751 & 0.1735 \\ Trinity-Net [19] & 29.7082 & 0.8973 & 0.0714 & 23.5273 & 0.9207 & 0.0562 \\ DCRD-Net [50] & 29.6780 & 0.8878 & 0.0749 & 22.1643 & 0.8926 & 0.0898 \\ FCTF-Net [29] & 29.6240 & 0.8958 & 0.0698 & 20.2556 & 0.8397 & 0.1203 \\ SCSNet (Teacher Network) [37] & 32.2504 & 0.9271 & 0.0499 & 25.3821 & 0.9585 & 0.0398 \\
**DVKT** & **31.4227** & **0.9135** & **0.0541** & **24.1082** & **0.9426** & **0.0449** \\ \hline \hline \end{tabular}  
* The bold font highlights our proposed method.  
\end{table} 
Table 2: Qualitative results on the RS-Haze and RSID datasets.