## 5 Discussion
The aircraft carrier is difficult to maintain stability due to the influence of gusts, turbulence, etc., which in turn makes it difficult to maintain the stability of the imaging payload visual axis, resulting in degradation of imaging quality [42]. The inertial stabilization platform is used to isolate the influence of aircraft carrier angular motion, vibration, etc., on the load visual axis and is the foundation and guarantee of high-precision aerial remote sensing imaging [55; 56]. The orthographic image stabilization platform in our solution is independently developed and designed. Based on the calculation principle (Figure 2), stability accuracy, that is, angular position error less than 0.53\({}^{\circ}\), can meet the requirements of image overlay and stitching. In the ground test, the stability accuracy of the stabilization platform is less than 0.05\({}^{\circ}\) (Table 3), far better than the principle's threshold. [PERSON] et al. (2019) adopt parameter optimized adaptive composite control combining single neuron with proportional-integral-derivative (PID) to significantly improve the stability accuracy of a stabilization platform, with an angular position error of 0.2904\({}^{\circ}\) under dynamic base conditions, which was 39.9% higher than traditional PID control [42]. Nevertheless, the angular position error of the stable platform in our solution is smaller. Additionally, in flight testing, the stabilization platform demonstrated excellent image stabilization capability in high-frequency fuselage vibration environments greater than 13 Hz. The images captured during the test are clear, with a resolution of less than 1 cm and an overlap rate of over 70%. This resolution is much higher than that of satellite remote sensing platforms. For example, the resolution of Worldview-4 satellite can only reach 0.31 m, which is the highest resolution of civilian optical remote sensing data currently available [18]. Generally, the ultra-high-resolution data acquired using aerial remote sensing platforms can reach up to centimeter levels [26]. [PERSON] (2017) developed a high-resolution aerial remote-sensing system for precision agriculture and the spatial resolution of the imagery also just was 3.6-95 mm [57]. It can be seen that the image resolution obtained in our testing is comparable to or even better than the current level of aerial remote sensing platforms. With the continuous improvement of emergency management systems, the requirements for post disaster emergency response to natural disasters such as major earthquakes and geological hazards are becoming increasingly high. After a major disaster occurs, it is urgent not only to quickly obtain information about the disaster area but also to transmit it in real time to decision-making departments to determine emergency rescue plans [8]. Therefore, the speed and accuracy of data transmission are crucial for aerial remote sensing platforms to perform emergency response tasks. These emerging applications and the associate need for transmitting at higher data rate or performing more complex tasks, have raised the need for larger bandwidths and higher-frequency bands [45]. In recent years, the use of higher frequencies than the common VHF/UHF bands such as S-band and X-band has become more widely. Downlinks on S-band would be expected to be able to implement data rates from 100 Kbps to 1 Mbps [45]. In our solution, higher frequency bands such as Ku are used. The testing results show the transmission rate of the mobile communication system meets the requirement of 2 Mbps bandwidth. Under these bandwidth conditions, the packet loss rate in static environments is only 0.2%, while in dynamic environments it is 0.5% (Table 4), with a latency of no more than 2 s. [PERSON] et al. (2021) proposed that for payload communication, drones need to send back real-time telemetry data, images, or videos under remote monitoring, which results in drones requiring approximately 4 Mbps of data throughput under certain settings to achieve 1080P quality streaming video resolution [58].