###### Abstract
Low-cost aerial remote sensing is now indispensable for onsite rapid data collection to aid disaster management [23; 24; 25]. Aerial remote sensing is a method of collecting data on the ground topography and landforms by means of photography, video recording, and topographic mapping through photoelectric equipment on a flying platform [26]. Aerial remote sensing is very effective in obtaining relevant disaster information accurately truthfully and comprehensively [27]. In particular, through telephoto high-resolution photography, higher-resolution images can be obtained compared to satellite remote sensing, providing high-precision data support for the emergency response [21; 28; 29]. In addition, compared to floating platforms (near-space vehicles) and short-range unmanned aerial vehicles (UAV), long range manned (unmanned) aircraft have extremely fast flight speeds and can reach the disaster site within a few hundred kilometers around the airport, basically within two hours, which can meet the effect of rapid response. These indicate that aerial remote sensing technology is an effective supplementary means for ground observation and satellite remote sensing, having advantages such as high spatial resolution, high temporal resolution, high degree of automation, flexibility, and low cost [14; 30; 31]. Aerial remote sensing technology has also been successfully applied to multiple earthquake and geological disaster cases [27; 31]. For example, after the Ms 8.0 Wenchuan earthquake in 2008 [32], the Ms 7.0 Jiuzhaigou earthquake in 2017 [33; 34], and other disasters [35; 36; 37; 38], aerial remote sensing was used to immediately investigate and obtain data such as high-resolution topography and real 3D models of the disaster area, which provided strong support for rapid and accurate assessment of the disaster situation and played an important role in emergency response and post-earthquake recovery and reconstruction [31]. However, although the image resolution obtained by aerial remote sensing is relatively high, due to the fact that airborne cameras are generally ordinary digital cameras with small image frames, a large number of images are obtained with significant image distortion [39]. Moreover, due to the large tilt angle, irregular tilt direction, and large amplitude of turbulence during shooting, there are differences in scale and rotation be tween adjacent images [40]. [PERSON] et al. (2017) adopt a combination of oblique and vertical shooting methods to improve this problem [39], while others use image correction techniques on the images obtained by the aviation platform for detailed monitoring of natural hazards [14; 41]. Additionally, the inertial stabilization platform is used to isolate the influence of aircraft carrier angular motion, vibration, etc. on the load visual axis, which is the basis and guarantee of high-precision aerial remote sensing imaging [42]. Regarding the aerial remote sensing platform, in addition to the continuous improvement of imaging technology, its data transmission stability and speed are also key performance factors affecting disaster rescue. The use of aerial remote sensing to obtain these observations is attractive, but often challenged by lack of suitable solutions to get live images back to decision makers [43]. In previous cases, the images were mostly read and interpreted after landing [31; 34; 35; 44]. The aerial remote sensing platform may be beyond radio line of sight during flight, so its communication cannot rely solely on ground communication. Satellite communication is essential to ensure real-time acquisition of observation results from aerial remote sensing platforms [43]. At the beginning of aerial remote sensing applications, the bandwidth of satellite communication was relatively low and could not meet the real-time transmission requirements of high-definition remote sensing images.