## 5 Discussion  
In the event of a major natural disaster, providing fast, accurate, and effective means of emergency information collection and transmission is crucial for real-time emergency monitoring and rapid response for emergency rescue [6; 7; 8]. Aerial remote sensing has gradually become an irreplaceable technical means in modern spatial data acquisition due to its advantages of high spatial and temporal resolution, large scale, and fast mapping over a large area and has been widely applied in many fields [31]. Aerial remote sensing platforms can be divided into two categories based on whether they are piloted: manned  
Figure 7: Image acquisition and stitching at flight altitudes of 250 m (**a**–**c**) and 450 m (**d**,**e**) during the Nanpingba Island flight test. (**b**,**c**) are enlarged partial views of (**a**), and (**e**) is an enlarged partial view of (**d**). \begin{table}
\begin{tabular}{c c c c c} \hline \hline  & \multicolumn{2}{c}{**Swing Conditions**} & \multicolumn{2}{c}{**Image Quality**} \\ \hline
**Swinging Period** & **Amplitude** & **Flight Height** & **Image Resolution** & **Overlap Rate** \\ \hline
20 s & \(\pm\)15\({}^{\circ}\) & 300 m & \textless{}1 cm & \textgreater{}70\% \\
15 s & \(\pm\)10\({}^{\circ}\) & 300 m & \textless{}1 cm & \textgreater{}70\% \\ \hline \hline \end{tabular}
\end{table} 
Table 5: Performance of image stabilization platform in low-speed small-scale maneuver flights. and unmanned. In the Wenchuan earthquake in 2008 and the Ya'an earthquake in 2013, manned aircraft were involved in disaster assessment and post-disaster dynamic remote sensing monitoring [31]. However, the cost of this method is high, and it is not flexible enough. With the continuous advancement of science and technology and the further expansion of market demand, unmanned aerial vehicle remote sensing systems dominate in both quantity and application fields [49]. Unmanned aerial vehicles can be further classified into military and civilian, with many different sizes and models. The original aerial remote sensing platforms relied heavily on military aircraft or used small unmanned aerial vehicles. The purchase, maintenance, and operation costs of military aircraft are very high, and flight usually requires strict airspace management and approval, resulting in poor operational flexibility [50]. Small unmanned aerial vehicles have limited battery life and are suitable for short-term tasks [51]. They cannot conduct long-term monitoring and have low payload capacity. They can only carry lighter sensors and camera equipment, which limits the types and accuracy of data collection. Their flight altitude and range are limited, making it difficult to cover large areas. In the solution presented in this paper, we use the Camel 500 produced by Chongqing Tuohang Technology Co., Ltd., which is a civilian heavy-duty twin rotor unmanned aerial vehicle. The cost of using civilian heavy-duty unmanned aerial vehicles for aerial remote sensing platforms is lower than that of military aircraft. They can fly at lower altitudes, are suitable for a wider range of mission requirements, and can operate in areas that are not strictly restricted airspace. Moreover, their operational risks are relatively low, especially when used in densely populated and hazardous areas, making them safer. They also have a long battery life, suitable for long-term monitoring and data acquisition tasks, equipped with high-precision sensors and camera equipment that can obtain high-resolution and high-precision remote sensing data. In summary, civilian heavy-duty drones have significant advantages in terms of cost, flexibility, safety, and data quality [50; 52; 53]. In the operation of aerial remote sensing systems, although high-quality sensors are used, the image quality obtained is not ideal. The main factor limiting high-resolution imaging is often not caused by electronic or optical systems [54].