## 3 Results
### Results of the Model  
As previously mentioned, the selection of Taguchi DOE Method implies a substantial reduction in the number of tests required to determine the optimal combination of parameters. However, it has a disadvantage with respect to the application of Fisher DOE Method, i.e., the combination that is indicated as optimum by the method can be absent among those initially set for the development of the experiments. This situation is precisely what happens in this particular research: the optimum combination (height of flight of 15 m, forward and lateral overlaps of 80%, and inclination angle of 0\({}^{\circ}\)) is not included in the set of flights prescribed by the L\({}_{9}\) matrix. In an actual case, the territory/object should be flight again to obtain the precise model. As this is not the aim of this research, the results of the most accurate flight among the ones developed for the application of Taguchi DOE Method, that is to say, the one with the highest signal-to-noise ratio is used. According to Table 7, the flight that satisfies this condition and, therefore, improves the metric quality, is flight number 5. This is the reason why, among the flights developed, it is the most suitable for the virtualization of the site, and is applied as the basis for the generation of several graphic outputs. \begin{table}
\begin{tabular}{c c} \hline \hline \multicolumn{2}{c}{**Contributions**} \\ \hline Height & 1.5068 \\ Forward overlap & 5.1039 \\ Lateral overlap & 1.9562 \\ Inclination angle & 24.7664 \\ \hline \hline \end{tabular}
\end{table} 
Table 10: Contribution of each parameter. \begin{table}
\begin{tabular}{c c c c c} \hline \hline
**Level** & **Height of Flight** & **Forward Overlap** & **Lateral Overlap** & **Inclination Angle** \\ \hline
1 & \(-\)14.7022 & \(-\)16.9551 & \(-\)16.3034 & \(-\)12.8703 \\
2 & \(-\)16.0136 & \(-\)14.9033 & \(-\)15.4416 & \(-\)15.1332 \\
3 & \(-\)15.7528 & \(-\)14.6103 & \(-\)14.7237 & \(-\)18.4651 \\ Variability & 1.3114 & 2.3448 & 1.5798 & 5.5948 \\ \hline \hline \end{tabular}
\end{table} 
Table 8: Average signal-to-noise ratio for each factor and level and variability. \begin{table}
\begin{tabular}{c c} \hline \hline \multicolumn{2}{c}{**Parameters**} \\ \hline Average S/N & \(-\)15.4895 \\ SS variation & 63.9636 \\ SS height & 0.9638 \\ SS forward overlap & 3.2646 \\ SS lateral overlap & 1.2513 \\ SS inclination angle & 15.8415 \\ \hline \hline \end{tabular}
\end{table} 
Table 9: Statistical values associated to each parameters. The management of the data obtained from the flights allows the generation of point-clouds. Figure 7a,b shows two point-clouds obtained from the flight selected. They are characterized by different densities of points (27,478 and 21,858,754 points, respectively). The point-clouds are suitable for the ex-situ measurement of distances. In addition to being a first graphic output, the point-clouds are the basis for the generation of meshed models (Figure 7c,d). Point clouds can be applied to generate outputs, which are characterized by offering a higher sensation of realism and tangibility, due to the availability of triangulated and texturized surfaces (Figure 8a), instead of a representation of the asset from a quasicontinuous set of points. These triangulated models allow measuring volumes, which is interesting for the analysis of the element/territory that has been modelled. Traditional orthophotographs can be generated (Figure 8b). It is worth mentioning that although all these outputs can be managed by means of open-source software, an application with noticeable interest is the one related to the generation of interactive PDFs, whose management is easy and even allow simple measurements (Figure 8c) or a simple dissemination of the asset. Other products of interest that can be obtained from these models are the virtual itineraries (Figure 8d) or the development of interactive application, which increase the user's interaction with the representation of the asset. Figure 7: Graphic outputs obtained from the most accurate flight.