## Appendix A
\begin{table}
\begin{tabular}{c c c c c c c} \hline \hline  & & **CC** & **Zhou’s SP** & **SRMSE** & **SP ERGAS** \\ \hline \multirow{8}{*}{F3} & Ehlers & 0.922299 & 0.949657 & 0.012645 & 28.478359 \\  & GS & 0.989999 & 0.979878 & 0.007121 & 26.395064 \\  & GIIS & 0.988664 & 0.989955 & 0.00808 & 26.561586 \\  & HCS & 0.942661 & 0.979506 & 0.01034 & 26.580025 \\  & IHS & 0.920211 & 0.929723 & 0.012687 & 27.542710 \\  & CIELab & 0.996151 & 0.996340 & 3.22E-08 & 7.7739934 \\  & NNDiffuse & 0.940385 & 0.972273 & 0.00683 & 26.669404 \\ \hline \multirow{8}{*}{F7} & Ehlers & 0.940410 & 0.929782 & 0.013524 & 30.304598 \\  & GSc & 0.989997 & 0.989956 & 0.008056 & 28.497749 \\  & GIIS & 0.973639 & 0.978996 & 0.008367 & 29.121990 \\  & HCS & 0.968484 & 0.962481 & 0.009486 & 29.539885 \\  & IHS & 0.939801 & 0.964973 & 0.013591 & 30.416119 \\  & CIELab & 0.998630 & 0.996223 & 1.66E-08 & 3.1299142 \\  & NNDiffuse & 0.996187 & 0.989929 & 0.008685 & 28.273530 \\ \hline \multirow{8}{*}{F8} & Ehlers & 0.918887 & 0.919399 & 0.009181 & 26.935703 \\  & GS & 0.989998 & 0.989753 & 0.005542 & 25.948199 \\  & GIIS & 0.972152 & 0.989942 & 0.005759 & 25.943732 \\ \cline{1-1}  & HCS & 0.800374 & 0.700073 & 0.006954 & 27.084421 \\ \cline{1-1}  & IHS & 0.921523 & 0.995543 & 0.009236 & 26.447253 \\ \cline{1-1}  & CIELab & 0.997412 & 0.997655 & 2.26E-08 & 8.2907935 \\ \cline{1-1}  & NNDiffuse & 0.989999 & 0.969353 & 0.004198 & 26.011647 \\ \hline \hline \end{tabular}
\end{table} 
Table 6: Numeric results of spatial quality metrics of the Pan-sharpened images produced by select algorithms for suburban test sites. \begin{table}
\begin{tabular}{c c c c c c c c} \hline \hline  & & **ERGAS** & **QAVG** & **RASE** & **RMSE** & **SAM** & **PSNR** & **SSIM** \\ \hline \multirow{8}{*}{F3} & Ehlers & 10.98399 & 0.63217 & 43.08140 & 0.00301 & 4.48411 & 50.43809 & 0.98554 \\  & GS & 5.51194 & 0.66128 & 23.69334 & 0.00154 & 2.84298 & 56.80727 & 0.99542 \\  & GIHS & 6.97787 & 0.65746 & 33.45619 & 0.00233 & 2.40080 & 52.63436 & 0.98413 \\  & HCS & 9.58868 & 0.62070 & 38.29194 & 0.00267 & 2.67967 & 51.46174 & 0.99176 \\  & IHS & 10.61170 & 0.63204 & 50.97203 & 0.00356 & 3.52966 & 48.97725 & 0.97134 \\  & CIELab & 4.14506 & 0.77127 & 20.06662 & 0.00140 & 1.84331 & 67.07440 & 1 \\  & NNDiffuse & 6.93153 & 0.68589 & 30.69262 & 0.00214 & 2.67079 & 53.38321 & 0.99047 \\ \hline \multirow{8}{*}{F7} & Ehlers & 9.66602 & 0.58842 & 38.60687 & 0.00252 & 5.34836 & 51.98700 & 0.98848 \\  & GS & 4.43979 & 0.64207 & 28.36296 & 0.00183 & 2.15986 & 58.92781 & 0.99695 \\  & GIHS & 4.86275 & 0.61769 & 19.90348 & 0.00130 & 2.39510 & 57.74171 & 0.99608 \\  & HCS & 6.21293 & 0.59860 & 24.68755 & 0.00161 & 6.57336 & 55.87073 & 0.99479 \\  & IHS & 9.99170 & 0.58440 & 40.96218 & 0.00267 & 5.54742 & 51.47263 & 0.98461 \\  & CIELab & 3.3780 & 0.72134 & 17.43123 & 0.00114 & 1.88980 & 68.89373 & 1 \\  & NNDiffuse & 6.00374 & 0.60227 & 28.30174 & 0.00184 & 2.87237 & 54.68403 & 0.98907 \\ \hline \multirow{8}{*}{F8} & Ehlers & 7.61492 & 0.68151 & 29.46707 & 0.00217 & 3.58878 & 53.26597 & 0.99194 \\  & GS & 4.02694 & 0.70121 & 14.48671 & 0.00107 & 2.77359 & 59.43332 & 0.99737 \\ \cline{1-1}  & GIHS & 5.76109 & 0.70009 & 27.24384 & 0.00201 & 2.20337 & 53.94734 & 0.98655 \\ \cline{1-1}  & HCS & 6.82371 & 0.68186 & 27.87873 & 0.00205 & 1.32168 & 53.74725 & 0.99579 \\ \cline{1-1}  & IHS & 8.13416 & 0.68201 & 38.54293 & 0.00284 & 2.97812 & 50.93381 & 0.97920 \\ \cline{1-1}  & CIELab & 3.5084 & 0.7133 & 13.48278 & 0.00099 & 1.20401 & 60.05712 & 1 \\ \cline{1-1}  & NNDiffuse & 5.70992 & 0.69899 & 14.95033 & 0.00110 & 1.31369 & 59.15970 & 0.99740 \\ \hline \hline \end{tabular}
\end{table} 
Table 5: Numeric results of spectral quality metrics of the Pan-sharpened images produced by select algorithms for suburban test sites. **List A1. Definition of Terms in Table 2 RMSE:** MN is the image size, \(\text{PS}(i,j)\) and \(\text{MS}(i,j)\) represent pixel digital number (DN) at \((i,j)\) 'th position of Pan-sharpened and MS image.